{ "count" : 36227, "data" : [ { "id" : "6a2c6b8474d8ee00a0912ef8", "title" : "Principal Data Architect", "company" : "Committee for Children", "industry" : "Education", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Data Architect in Seattle, adjusted for executive seniority in the non-profit industry." }, "location" : "Seatte, WA", "locations" : [ "Seatte", "WA" ], "timestamp" : "2026-06-15T07:21:53.998", "fingerprint" : "dc005607cfcba451c6bd5e0b6bfd210ede3f9c7febb1559417797aea1dee009c", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://committee-for-children.breezy.hr/p/30cd0baf136c-principal-data-architect", "externalId" : "30cd0baf136c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Are you looking for purpose-driven work where you can make a positive impact on communities around the world? If so, then Committee for Children is an amazing place to grow your career as a Principal Data Architect. We’re a social enterprise dedicated to advancing the well-being of children throug", "summaryDescription" : "Principal Data Architect at Committee for Children", "createdAt" : "2026-06-14T07:00:31.564", "lastUpdated" : "2026-06-15T07:21:53.998", "ingestTimestamp" : "2026-06-14T07:00:31.564", "mongoId" : "6a2c6b8474d8ee00a0912ef8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ed74d8ee00a0986e19", "title" : "Data Platform Architect (Snowflake)", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Data Platform Architect (Snowflake) in Poland at an executive level, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T04:34:30.578", "fingerprint" : "4c3bf109911204cc29bfad4d413baf34ec123a8fd9f48f30f4f408885c63177e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/5978698004", "externalId" : "5978698004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Snowflake, Dbt, AWS, GCP, Azure, Databricks", "professionalSkills" : [ "System design", "Data modeling", "Technical ownership", "Decision making", "Execution discipline" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Data modeling", "Platform architecture" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Platform architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Snowflake architecture, Data platform, Cloud platforms", "majorSkillsList" : [ "Snowflake architecture", "Data platform", "Cloud platforms" ], "coreResponsibilities" : "Own Snowflake-based data platform architecture, Ensure architectural consistency, Ensure architectural quality, Drive execution across teams, Collaborate with India teams, Act as technical counterpart, Operate in global delivery models, Translate business objectives, Make pragmatic architectural decisions, Manage architectural trade-offs, Unblock teams, Resolve cross-team dependencies, Define architectural standards, Enforce architectural standards, Define architectural patterns, Enforce architectural patterns, Define architectural guardrails, Enforce architectural guardrails, Ensure scalability, Ensure security, Ensure governance, Ensure operational robustness, Support rollout phases, Support early production phases", "teamCollaboration" : "Distributed teams; Global delivery models; Multiple time zones; India-based teams; US-based stakeholders", "domainKnowledge" : "Enterprise data platform architectures; Data ingestion patterns; Data transformation patterns; Data modeling patterns; Cloud platforms; Production systems security; Production systems governance; Production systems operations; Regulated environments; Data-sensitive environments; GenAI in SDLC; AI-driven practices", "domainList" : [ "enterprise-data-platform-architectures", "data-ingestion-patterns", "data-transformation-patterns", "data-modeling-patterns", "cloud-platforms", "production-systems-security", "production-systems-governance", "production-systems-operations", "regulated-environments", "data-sensitive-environments", "genai-in-sdlc", "ai-driven-practices" ], "domainSpecificKnowledge" : [ "Enterprise data platform architectures", "Data ingestion patterns", "Data transformation patterns", "Data modeling patterns", "Cloud platforms", "Production systems security", "Production systems governance", "Production systems operations", "Regulated environments", "Data-sensitive environments", "GenAI in SDLC", "AI-driven practices" ], "toolProficiency" : [ "Dbt", "Claude Code", "GitHub Copilot", "Cursor" ], "communicationSkills" : "Client leadership communication", "continuousLearning" : "Personal development budgets", "innovationCreativity" : "Explore and experiment", "problemSolvingSkills" : "Resolve dependencies; Decision making under ambiguity", "specialRequirements" : "Work permit required, EU region work", "qualificationsBasic" : "End-to-end ownership of Snowflake architecture, Architectural consistency and quality, Execution across distributed teams, Technical counterpart for US stakeholders, Translate business objectives to technical plans, Pragmatic architectural decisions, Manage trade-offs, Define and enforce architectural standards, Ensure production readiness, Deep, hands-on Snowflake experience, Deliver large-scale data platforms, Understand modern enterprise data platform architectures, Practical experience data ingestion, Practical experience data transformation, Practical experience data modeling, Hands-on dbt experience, Solid understanding of cloud platforms, Knowledge of security considerations, Knowledge of governance considerations, Knowledge of operational considerations, Full technical ownership without supervision, Confidence working with senior client leadership, Decision-making skills under ambiguity, Delivery-oriented mindset, High accountability, Lead by authority, clarity, execution discipline, Practical AI assistant experience", "qualificationsPreferred" : "Experience supporting early production phases, Experience supporting hypercare phases, Background in regulated environments, Background in data-sensitive environments, Previous Field CTO role, Previous Principal Architect role, Experience applying GenAI in SDLC, Interest in emerging AI-driven practices, Familiarity with agent-based workflows, Familiarity with automation patterns, Familiarity with AI-augmented development, Willingness to explore and experiment", "remoteFriendly" : true, "rawDescription" : "Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: responsible for end-to-end ownership of the Snowflake-based data platform architecture, from design through production, ensuring architectural consistency and quality across all implementation teams, driving execution across distributed teams, including close collaboration with India-based delivery teams as well as acting as the primary technical counterpart for senior US-based stakeholders - operating in global delivery models across multiple time zones, translating business objectives into concrete, executable technical plans, making fast, pragmatic architectural decisions while effectively managing trade-offs, unblocking teams and resolving cross-team technical dependencies, defining and enforcing architectural standards, patterns, and guardrails, ensuring production readiness, including scalability, security, governance, and operational robustness, supporting rollout and early production phases when required. Your profile: Technical skills: deep, hands‑on experience with Snowflake as a core enterprise data platform, proven track record of delivering large‑scale data platforms, not just designing them, strong understanding of modern enterprise data platform architectures, practical experience with data ingestion, transformation, and modeling patterns, hands‑on experience with dbt or equivalent transformation frameworks, solid understanding of cloud platforms (even if Snowflake is the core layer), strong knowledge of security, governance, and operational considerations in production systems. Leadership & Delivery: ability to take full technical ownership without supervision, confidence working directly with senior client leadership and decision makers, strong decision‑making skills under ambiguity and time pressure, delivery‑oriented mindset with high accountability, ability to lead by authority, clarity, and execution discipline (without formal authority), excellent communication skills, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: experience supporting early production or hypercare phases, background in highly regulated or data‑sensitive environments, previous experience acting in a Field CTO, Principal Architect, or equivalent role, experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Platform Architect (Snowflake) at Xebia. Skills: Snowflake architecture, Data platform, Cloud platforms. Own Snowflake-based data platform architecture. Ensure architectural consistency", "postedDate" : "2026-06-14T20:08:46.989", "createdAt" : "2026-06-14T20:08:46.989", "lastUpdated" : "2026-06-16T04:34:30.578", "ingestTimestamp" : "2026-06-14T20:08:46.989", "mongoId" : "6a2c92ed74d8ee00a0986e19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Data modeling", "Platform architecture", "Leadership", "Snowflake architecture", "Data platform", "Cloud platforms", "System design", "Technical ownership", "Decision making", "Execution discipline", "Enterprise data platform architectures", "Data ingestion patterns", "Data transformation patterns", "Data modeling patterns", "Production systems security", "Production systems governance", "Production systems operations", "Regulated environments", "Data-sensitive environments", "GenAI in SDLC", "AI-driven practices", "Dbt", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30517ef292fd229cf014b0", "title" : "Platform Architect", "company" : "Future Secure AI", "industry" : "Technology", "salary" : { "min" : 195000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Platform Architect in Austin, TX, adjusted for the technology industry and lead seniority." }, "location" : "Austin", "locations" : [ "Austin" ], "timestamp" : "2026-06-16T07:28:27.328", "fingerprint" : "3332039bf025b91f8539eab7f2dae3d7657daf2a7b4dbf28e0155b14644d59ff", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.anz.greenhouse.io/futuresecureai/jobs/4004280201", "externalId" : "4004280201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AWS, Azure, Kubernetes, EKS, AKS, Karpenter, Cluster Autoscaler, Terraform, GitHub Actions, Argo CD, Go, Python, TypeScript, OpenTelemetry, Prometheus, Grafana, SSO, SCIM, RBAC", "professionalSkills" : [ "Architectural decisions", "Technical direction", "Infrastructure automation", "Policy automation", "Deployment automation", "Security integration", "Identity management", "Observability definition", "Incident detection", "Incident response", "Infrastructure workflows", "Operational tooling", "Platform roadmap", "Reference architectures", "Capacity planning", "Utilization metrics", "Right-sizing recommendations" ], "hardSkillsList" : [ "VPC topology", "VNet topology", "Routing", "Private networking", "Secure ingress", "Secure egress", "Cluster lifecycle management", "Autoscaling", "Upgrade strategies", "Rollout strategies", "Module testing", "Module linting", "Dependency management", "Policy enforcement", "Compliance enforcement", "Security guardrails", "Image signing", "SBOMs", "SAST", "SCA", "Container scanning", "Least-privilege RBAC", "Secrets lifecycle management", "SLOs", "SLIs", "Automation scripting", "Compliance checks", "Operational tooling development", "ADRs publishing", "Client requirements translation", "Infrastructure alignment", "Cost optimization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "VPC topology", "level" : "intermediate" }, { "name" : "VNet topology", "level" : "intermediate" }, { "name" : "Routing", "level" : "intermediate" }, { "name" : "Private networking", "level" : "intermediate" }, { "name" : "Secure ingress", "level" : "intermediate" }, { "name" : "Secure egress", "level" : "intermediate" }, { "name" : "Cluster lifecycle management", "level" : "intermediate" }, { "name" : "Autoscaling", "level" : "intermediate" }, { "name" : "Upgrade strategies", "level" : "intermediate" }, { "name" : "Rollout strategies", "level" : "intermediate" }, { "name" : "Module testing", "level" : "intermediate" }, { "name" : "Module linting", "level" : "intermediate" }, { "name" : "Dependency management", "level" : "intermediate" }, { "name" : "Policy enforcement", "level" : "intermediate" }, { "name" : "Compliance enforcement", "level" : "intermediate" }, { "name" : "Security guardrails", "level" : "intermediate" }, { "name" : "Image signing", "level" : "intermediate" }, { "name" : "SBOMs", "level" : "intermediate" }, { "name" : "SAST", "level" : "intermediate" }, { "name" : "SCA", "level" : "intermediate" }, { "name" : "Container scanning", "level" : "intermediate" }, { "name" : "Least-privilege RBAC", "level" : "intermediate" }, { "name" : "Secrets lifecycle management", "level" : "intermediate" }, { "name" : "SLOs", "level" : "intermediate" }, { "name" : "SLIs", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Compliance checks", "level" : "intermediate" }, { "name" : "Operational tooling development", "level" : "intermediate" }, { "name" : "ADRs publishing", "level" : "intermediate" }, { "name" : "Client requirements translation", "level" : "intermediate" }, { "name" : "Infrastructure alignment", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Platform Architecture, Infrastructure as Code, Kubernetes Management, Cloud Infrastructure", "majorSkillsList" : [ "Platform Architecture", "Infrastructure as Code", "Kubernetes Management", "Cloud Infrastructure" ], "coreResponsibilities" : "Design scalable infrastructure on AWS/Azure, Manage scalable infrastructure on AWS/Azure, Design VPC/VNet topology, Manage VPC/VNet topology, Design routing, Manage routing, Design private networking, Manage private networking, Design secure ingress, Manage secure ingress, Design secure egress, Manage secure egress, Lead build of EKS/AKS clusters, Lead evolution of EKS/AKS clusters, Manage EKS/AKS cluster lifecycle, Implement autoscaling, Implement upgrades, Implement rollout strategies, Architect reusable Terraform modules, Oversee reusable Terraform modules, Implement policy-as-code, Enforce compliance, Enforce security guardrails, Design GitHub Actions pipelines, Build GitHub Actions pipelines, Design Argo CD pipelines, Build Argo CD pipelines, Integrate security stages, Integrate policy stages, Integrate testing stages, Interface with security teams, Implement image signing, Implement SBOMs, Implement SAST, Implement SCA, Implement container scanning, Manage identity and access, Manage SSO/SCIM, Manage least-privilege RBAC, Manage secrets lifecycle, Improve observability, Improve alerting, Define SLOs, Define SLIs, Automate incident detection, Automate incident response, Design automation in Go, Python, or TypeScript, Extend automation in Go, Python, or TypeScript, Influence platform roadmap, Publish ADRs, Publish reference architectures, Mentor platform engineers, Guide platform engineers, Collaborate with sales teams, Collaborate with delivery teams, Translate client requirements, Align infrastructure with timelines, Implement FinOps practices, Perform capacity planning, Track utilization metrics, Provide right-sizing recommendations", "teamCollaboration" : "Platform engineers; Sales teams; Delivery teams; Security teams; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Cloud-native architecture; Multi-account infrastructure; Kubernetes; GitOps; Observability; Incident response; Operational resilience; FinOps; Regulated environments; Enterprise environments", "domainList" : [ "cloud-native-architecture", "multi-account-infrastructure", "kubernetes", "gitops", "observability", "incident-response", "operational-resilience", "finops", "regulated-environments", "enterprise-environments" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Multi-account infrastructure", "Kubernetes", "GitOps", "Observability", "Incident response", "Operational resilience", "FinOps", "Regulated environments", "Enterprise environments" ], "toolProficiency" : [ "AWS", "Azure", "EKS", "AKS", "Karpenter", "Cluster Autoscaler", "Terraform", "GitHub Actions", "Argo CD", "OpenTelemetry", "Prometheus", "Grafana", "Cloudflare", "Artifactory", "SonarQube", "GitHub Advanced Security" ], "communicationSkills" : "Technical guidance; Client requirements translation", "documentationSkills" : "ADRs publishing; Reference architectures", "continuousLearning" : "Growth trajectory", "innovationCreativity" : "Building something new; Uncharted territory", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Incident response", "qualificationsBasic" : "6+ years Platform Engineering, DevOps, or SRE, Production ownership experience, Experience leading or mentoring engineers, Deep hands-on Kubernetes (EKS/AKS), Deep hands-on Terraform at scale, Cloud fundamentals: IAM, networking, DNS, TLS, private connectivity, Proficiency with GitOps workflows, Proficiency with CI/CD pipeline design, Proven background in observability, Proven background in incident response, Proven background in operational resilience, Solid Linux systems foundation, Solid automation foundation", "qualificationsPreferred" : "Designing Terraform module registries, Designing internal IaC frameworks, Organization-level AWS/Azure governance, Infrastructure policy and compliance automation, Security tooling experience, FinOps and cost optimization, Experience in regulated environments, Experience in enterprise environments, Client facing solutions engineer role experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role We are seeking a Platform Architect to lead the build-out of our infrastructure platform. This is a hands-on technical leadership role: you will drive the platform forward by making key architectural decisions, setting technical direction, and building alongside the team. You will mentor and guide platform engineers while working closely with sales and delivery teams to ensure the platform supports what we are taking to market. Responsibilities Design and manage scalable, multi-account infrastructure on AWS/Azure, including VPC/VNet topology, routing, private networking, and secure ingress/egress. Lead the build and evolution of EKS/AKS clusters: lifecycle management, autoscaling (Karpenter/Cluster Autoscaler), upgrades, and rollout strategies (blue/green, canary). Architect and oversee reusable, versioned Terraform modules with strong testing, linting, and dependency management. Implement policy-as-code to enforce compliance and security guardrails. Design and build GitHub Actions / Argo CD pipelines for declarative, automated deployments. Integrate security, policy, and testing stages into every pipeline. Interface with security teams to Implement image signing, SBOMs, SAST/SCA, and container scanning. Manage identity and access through SSO/SCIM, least-privilege RBAC, and secrets lifecycle management. Improve observability and alerting using OpenTelemetry, Prometheus, and Grafana. Define SLOs/SLIs and automate incident detection and response. Design and extend automation in Go, Python, or TypeScript for infrastructure workflows, compliance checks, and operational tooling. Influence the platform roadmap, publishing ADRs and reference architectures to guide the engineering team. Mentor platform engineers through pairing, design reviews, and hands-on technical guidance. Collaborate with sales and delivery teams to translate client requirements into platform capabilities and align infrastructure with project timelines. Implement FinOps practices including capacity planning, utilization metrics, and right-sizing recommendations. Minimum Qualifications 6+ years in Platform Engineering, DevOps, or SRE roles with production ownership, including experience leading or mentoring engineers. Deep hands-on experience operating Kubernetes (EKS/AKS) and infrastructure via Terraform at scale. Strong cloud fundamentals: IAM, networking (VPCs, subnets, routing), DNS, TLS, and private connectivity. Proficiency with GitOps workflows (Argo CD, Flux) and CI/CD pipeline design. Proven background in observability, incident response, and operational resilience. Strong communication skills with the ability to collaborate across technical and non-technical teams. Ideal candidate would have experience in a client facing solutions engineer role. Solid Linux systems and automation foundation. Preferred Qualificaitons Designing Terraform module registries or internal IaC frameworks. Organization-level AWS/Azure governance (Control Tower, Landing Zones). Infrastructure policy and compliance automation (OPA, HashiCorp Sentinel). Security tooling (Cloudflare, Artifactory, SonarQube, GitHub Advanced Security). FinOps and cost optimization across multi-cloud or hybrid workloads. Experience in regulated or enterprise environments. Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Platform Architect at Future Secure AI. Skills: Platform Architecture, Infrastructure as Code, Kubernetes Management, Cloud Infrastructure. Design scalable infrastructure on AWS/Azure. Manage scalable infrastructure on AWS/Azure", "postedDate" : "2026-06-15T23:21:21.539", "createdAt" : "2026-06-15T23:21:21.539", "lastUpdated" : "2026-06-16T07:28:27.328", "ingestTimestamp" : "2026-06-15T23:21:21.539", "mongoId" : "6a30517ef292fd229cf014b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "VPC topology", "VNet topology", "Routing", "Private networking", "Secure ingress", "Secure egress", "Cluster lifecycle management", "Autoscaling", "Upgrade strategies", "Rollout strategies", "Module testing", "Module linting", "Dependency management", "Policy enforcement", "Compliance enforcement", "Security guardrails", "Image signing", "SBOMs", "SAST", "SCA", "Container scanning", "Least-privilege RBAC", "Secrets lifecycle management", "SLOs", "SLIs", "Automation scripting", "Compliance checks", "Operational tooling development", "ADRs publishing", "Client requirements translation", "Infrastructure alignment", "Cost optimization", "Leadership", "Mentoring", "Platform Architecture", "Infrastructure as Code", "Kubernetes Management", "Cloud Infrastructure", "Architectural decisions", "Technical direction", "Infrastructure automation", "Policy automation", "Deployment automation", "Security integration", "Identity management", "Observability definition", "Incident detection", "Incident response", "Infrastructure workflows", "Operational tooling", "Platform roadmap", "Reference architectures", "Capacity planning", "Utilization metrics", "Right-sizing recommendations", "Roadmap planning", "Cloud-native architecture", "Multi-account infrastructure", "Kubernetes", "GitOps", "Observability", "Operational resilience", "FinOps", "Regulated environments", "Enterprise environments", "AWS", "Azure", "EKS", "AKS", "Karpenter", "Cluster Autoscaler", "Terraform", "GitHub Actions", "Argo CD", "OpenTelemetry", "Prometheus", "Grafana", "Cloudflare", "Artifactory", "SonarQube", "GitHub Advanced Security" ], "skillCount" : 81, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a40", "title" : "ServiceNow Senior Architect", "company" : "Mercedes-Benz Research and Development India", "industry" : "Technology", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior ServiceNow Architect in Bangalore, India, adjusted for seniority and the technology industry." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-15T08:57:57.058", "fingerprint" : "aef264563b0be6daef8c8b32e944c0c3e6b1842a86c0c942fea548940404829b", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877325", "externalId" : "877325", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ServiceNow", "professionalSkills" : [ "Solution design", "Technical leadership", "Architectural oversight", "Platform governance", "Data models", "Enterprise architecture", "Security policies", "Platform roadmap", "Service automations", "Technical advisor", "Knowledge management", "Documentation discipline" ], "hardSkillsList" : [ "CMDB strategy", "Data models", "Service mapping", "Integrations", "Configuration governance", "CI/CD pipelines", "Automated deployments", "Versioning", "Development standards", "Platform upgrades", "Patching strategy", "Health checks", "Technical debt reduction" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "CMDB strategy", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Service mapping", "level" : "intermediate" }, { "name" : "Integrations", "level" : "intermediate" }, { "name" : "Configuration governance", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Automated deployments", "level" : "intermediate" }, { "name" : "Versioning", "level" : "intermediate" }, { "name" : "Development standards", "level" : "intermediate" }, { "name" : "Platform upgrades", "level" : "intermediate" }, { "name" : "Patching strategy", "level" : "intermediate" }, { "name" : "Health checks", "level" : "intermediate" }, { "name" : "Technical debt reduction", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ServiceNow Architecture, DevOps, CMDB", "majorSkillsList" : [ "ServiceNow Architecture", "DevOps", "CMDB" ], "coreResponsibilities" : "Lead architecture, Design platform, Govern platform, Own CMDB strategy, Own data models, Own service mapping, Own integrations, Own configuration governance, Drive technical leadership, Evaluate demands, Refine demands, Steer enhancement requests, Provide architectural oversight, Lead solution design, Collaborate with teams, Deliver workflows, Deliver integrations, Deliver service automations, Ensure performance, Ensure availability, Ensure reliability, Define coding standards, Review technical designs, Guide development teams, Drive platform improvement, Reduce technical debt, Act as technical advisor, Translate business needs, Partner with vendors, Align on design standards, Align on delivery quality, Align on future expansion, Mentor internal teams, Build capability, Ensure knowledge management, Ensure documentation discipline", "teamCollaboration" : "Cross-functional teams; IT teams; Security teams; Business teams; Platform Operations teams; Vendors; Partners", "domainKnowledge" : "ITSM; ITOM; ITAM; SecOps; CSM; Automotive mobility", "domainList" : [ "itsm", "itom", "itam", "secops", "csm", "automotive-mobility" ], "domainSpecificKnowledge" : [ "ITSM", "ITOM", "ITAM", "SecOps", "CSM", "Automotive mobility" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Technical advisor", "documentationSkills" : "Documentation discipline", "continuousLearning" : "Continuous learning opportunities", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "ServiceNow platform architecture, CMDB strategy, Service mapping, Integrations, Configuration governance, DevOps activities, CI/CD pipelines, Automated deployments, Versioning, Development standards, ITSM, ITOM, ITAM, SecOps, CSM, Custom applications, Onboarding applications, Onboarding teams, Onboarding customers, Scalable frameworks, Reusable frameworks, Performance, Availability, Reliability, Coding standards, Technical designs, Platform best practices, Architectural patterns, Platform upgrades, Patching strategy, Health checks, Technical debt reduction, Business needs translation, Vendor alignment, Delivery quality, Future expansion, Knowledge management, Documentation discipline, ServiceNow Application Development, Platform support", "remoteFriendly" : false, "rawDescription" : "About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. ServiceNow Senior Architect – Job Description Lead the end-to-end architecture, design, and governance of the ServiceNow platform across Customer Instances (dealers/external partners) and Enterprise Instances (internal business units, applications, assets, workflows). Own the CMDB strategy , data models, service mapping, integrations, and configuration governance to ensure accuracy, compliance, and platform health. Drive technical leadership for all DevOps activities , including CI/CD pipelines, automated deployments, versioning, and best-practice development standards. Evaluate, refine, and steer new demands and enhancement requests , ensuring alignment with enterprise architecture, security policies, and platform roadmap. Provide architectural oversight for modules such as ITSM, ITOM, ITAM, SecOps, CSM , and custom applications. Lead solution design for onboarding new applications, teams, and customers onto the ServiceNow platform with scalable, reusable frameworks. Collaborate with cross-functional teams (IT, Security, Business, Platform Operations) to deliver robust workflows, integrations, and service automations. Ensure performance, availability, and reliability of both customer and enterprise ServiceNow instances. Define coding standards, review technical designs, and guide development teams on platform best practices and architectural patterns. Drive continuous improvement of the platform including upgrades, patching strategy, health checks, and technical debt reduction. Act as the primary technical advisor to leadership, translating business needs into scalable architecture solutions. Partner with vendors/partners to align on design standards, delivery quality, and future expansion needs. Mentor internal teams, build capability, and ensure strong knowledge management and documentation discipline. B Tech/BE Experience in ServiceNow Application Development & platform support Why Join Us? · Be part of a purpose-driven organization that is shaping the future of mobility. · Work on cutting-edge technologies and global projects. · Thrive in a collaborative, diverse, and inclusive environment. · Access world-class infrastructure and continuous learning opportunities. Equal Opportunity Statement · At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "ServiceNow Senior Architect at Mercedes-Benz Research and Development India. Skills: ServiceNow Architecture, DevOps, CMDB. Lead architecture. Design platform", "createdAt" : "2026-06-14T01:56:50.759", "lastUpdated" : "2026-06-15T08:57:57.058", "ingestTimestamp" : "2026-06-14T01:56:50.759", "mongoId" : "69ce5e3b9bc74574cb677a40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "CMDB strategy", "Data models", "Service mapping", "Integrations", "Configuration governance", "CI/CD pipelines", "Automated deployments", "Versioning", "Development standards", "Platform upgrades", "Patching strategy", "Health checks", "Technical debt reduction", "Leadership", "Mentoring", "ServiceNow Architecture", "DevOps", "CMDB", "Solution design", "Technical leadership", "Architectural oversight", "Platform governance", "Enterprise architecture", "Security policies", "Platform roadmap", "Service automations", "Technical advisor", "Knowledge management", "Documentation discipline", "ITSM", "ITOM", "ITAM", "SecOps", "CSM", "Automotive mobility", "ServiceNow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30674cf292fd229cfbb6b7", "title" : "Principal Architect – Data & AI Solutions", "company" : "3Cloud", "industry" : "Consulting", "salary" : { "min" : 168400.0, "max" : 217800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-16T08:12:34.815", "fingerprint" : "c34f1767305501a1d398d93179115d1869e788c85f1fd2fc4109a9e84649ac11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/3cloud/jobs/8592986002?gh_jid=8592986002", "externalId" : "8592986002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data, Analytics, AI, Microsoft Azure, Azure Data Services, Azure AI, Synapse, Fabric, Databricks", "professionalSkills" : [ "Solution strategy", "Deal closure", "Technical discoveries", "Solution design", "Business outcomes", "Technical feasibility", "ROI articulation", "Executive presentations", "Architecture reviews", "Proposals", "Thought leadership", "Client impact" ], "hardSkillsList" : [ "Data engineering", "Data architect", "Machine learning", "AI", "Solution architecture" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data architect", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Solution architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Microsoft platform, Azure", "majorSkillsList" : [ "Microsoft platform", "Azure" ], "coreResponsibilities" : "Lead as a technical evangelist, Serve as a trusted advisor for clients, Shape Data & AI conversations, Develop compelling solution visions, Partner closely with sales teams, Partner closely with account teams, Drive opportunity qualification, Drive solution strategy, Drive deal closure, Lead technical discoveries with clients, Understand business priorities, Understand decision criteria, Understand value drivers, Translate priorities into architectures, Lead design of Data & AI solutions, Present Data & AI solutions, Articulate business outcomes, Articulate technical feasibility, Articulate ROI, Provide executive-level technical depth, Influence client stakeholders, Lead technical credibility, Conduct whiteboarding sessions, Conduct architecture reviews, Develop proposals, Deliver executive presentations, Guide architects, Mentor data scientists, Ensure solution consistency, Ensure technical excellence, Align with go-to-market strategy, Identify opportunities to expand pipeline, Lead innovation workshops, Lead POVs, Lead targeted thought leadership, Ensure proposed solutions align with Microsoft best practices, Ensure proposed solutions align with security standards, Ensure proposed solutions align with regulatory requirements, Stay current on Microsoft Data & AI roadmaps, Stay current on industry trends", "teamCollaboration" : "Partner with sales teams; Partner with account teams; Guide architects; Mentor data scientists", "domainKnowledge" : "Data & AI; Microsoft Data & AI; Azure Data Services; Azure AI; Synapse; Fabric; Databricks; Cloud-native architecture", "domainList" : [ "data-ai", "microsoft-data-ai", "azure-data-services", "azure-ai", "synapse", "fabric", "databricks", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Data & AI", "Microsoft Data & AI", "Azure Data Services", "Azure AI", "Synapse", "Fabric", "Databricks", "Cloud-native architecture" ], "toolProficiency" : [ "Microsoft platform" ], "communicationSkills" : "Executive presentations; Whiteboarding; Storytelling", "continuousLearning" : "Stay current on Microsoft Data & AI roadmaps; Stay current on industry trends", "innovationCreativity" : "Innovation workshops; POVs; Thought leadership", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Drive opportunity qualification; Drive solution strategy; Drive deal closure; Influence pipeline progression; Close deals", "qualificationsBasic" : "10+ years of experience in Data, Analytics, or AI roles, Proven experience leading pre-sales or client-facing technical engagements, Deep hands-on expertise with Microsoft Data & AI, Ability to translate complex technical capabilities into clear business value narratives, Demonstrated $500k+ deal success, Executive presence, Architectural mindset, Excellent communication skills", "qualificationsPreferred" : "Experience with Azure Data Services, Experience with Azure AI, Experience with Synapse/Fabric, Experience with Databricks on Azure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. Principal Architect - Data & AI SME Responsibilities · Lead as a technical evangelist and trusted advisor for clients, shaping early-stage Data & AI conversations into compelling solution visions built on the Microsoft platform. · Partner closely with sales and account teams to drive opportunity qualification, solution strategy, and deal closure for Data & AI engagements. · Lead technical discoveries with clients to understand business priorities, decision criteria, and value drivers, translating them into winning Data & AI architectures. · Lead design and present Data & AI solutions that clearly articulate business outcomes, technical feasibility, and ROI. · Provide executive-level technical depth in Azure with depth in data engineering, data architect, machine learning, or AI to influence client stakeholders from practitioner to C-level. · Lead technical credibility throughout the sales cycle, including whiteboarding sessions, architecture reviews, proposals, and executive presentations. · Guide and mentor architects and data scientists to ensure solution consistency, technical excellence, and alignment with go-to-market strategy. · Identify and lead opportunities to expand pipeline through innovation workshops, POVs, and targeted thought leadership aligned to Microsoft Data & AI offerings. · Ensure proposed solutions align with Microsoft best practices, security standards, and regulatory requirements. · Stay current on Microsoft Data & AI roadmaps and industry trends to continuously sharpen competitive positioning and client impact. Requirements · 10+ years of experience in Data, Analytics, or AI roles, with significant exposure to enterprise client environments. · Proven experience leading pre-sales or client-facing technical engagements, including discovery, solution design, and executive presentations. · Deep hands-on expertise with Microsoft Data & AI in at least one of Azure Data Services, Azure AI, Synapse/Fabric, Databricks on Azure). · Strong ability to translate complex technical capabilities into clear business value narratives that resonate with technical and non-technical stakeholders. · Demonstrated $500k+ deal success partnering with sales and account teams to influence pipeline progression and close deals. · Executive presence with experience leading the C-suite engagement and partnering with senior leaders as a trusted technical advisor. · Strong architectural mindset with the ability to design end-to-end Data & AI solutions aligned to client objectives, security, and governance needs. · Excellent communication skills, including whiteboarding, storytelling, and formal presentations. · Ability to work in a fast-paced environment  Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas. This Job Posting will expire on Monday, June 22nd, 2026. 3Cloud Total Rewards Highlights Include:  Flexible work location with a virtual first approach to work!  401(K) with match up to 50% of your 6% contributions of eligible pay  Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days  Two medical plan options to allow you the choice to elect what works best for you! Option for vision and dental coverage  100% employer paid coverage for life and disability insurance Paid leave for birth parents and non-birth parents  Option for Healthcare FSA, HSA, and Dependent Care FSA $67.00 monthly tech and home office allowance Utilization and/or discretionary bonus eligibility based on role  Employee Assistance Program to help with everyday challenges 3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. Please keep in mind that the range mentioned above includes the full base salary range for the role. It is not typical for offers to be made at or near the top of the range. Base Salary Range $168,400—$217,800 USD Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas.", "summaryDescription" : "Principal Architect – Data & AI Solutions at 3Cloud. Skills: Microsoft platform, Azure. Lead as a technical evangelist. Serve as a trusted advisor for clients", "postedDate" : "2026-06-15T23:27:41.593", "createdAt" : "2026-06-15T23:27:41.593", "lastUpdated" : "2026-06-16T08:12:34.815", "ingestTimestamp" : "2026-06-15T23:27:41.593", "mongoId" : "6a30674cf292fd229cfbb6b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 168400, "salaryAnnualMax" : 217800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Data architect", "Machine learning", "AI", "Solution architecture", "Leadership", "Mentoring", "Microsoft platform", "Azure", "Solution strategy", "Deal closure", "Technical discoveries", "Solution design", "Business outcomes", "Technical feasibility", "ROI articulation", "Executive presentations", "Architecture reviews", "Proposals", "Thought leadership", "Client impact", "Data & AI", "Microsoft Data & AI", "Azure Data Services", "Azure AI", "Synapse", "Fabric", "Databricks", "Cloud-native architecture" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cce7274d8ee00a0a2c2c2", "title" : "ServiceNow Platform Team Lead", "company" : "HDR", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead ServiceNow Platform Team Lead in Omaha, United States, adjusted for industry and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-15T21:18:40.261", "fingerprint" : "4c0eedf82db6abd31905dcb232c6d435585de22706b8ebea7199a6351fdaa83e", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783278", "externalId" : "783278", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "ServiceNow", "professionalSkills" : [ "Platform availability", "Performance", "Operational health", "Instance management", "Release cycles", "Access control", "Audit readiness", "Work plans", "Delivery practices", "Configuration standards", "Customization standards", "Change control", "Upgrade readiness", "Talent development", "Vendor management", "Contract management", "KPI maintenance", "Executive reporting" ], "hardSkillsList" : [ "IT service management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "IT service management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ServiceNow platform, Team leadership", "majorSkillsList" : [ "ServiceNow platform", "Team leadership" ], "coreResponsibilities" : "Own platform availability, performance, and operational health, Oversee instances, upgrades, patching, and release cycles, Ensure security, access control, and audit readiness, Translate Platform Owner’s roadmap into executable work plans, Lead ServiceNow admins, developers, and technical leads, Ensure consistent delivery practices, testing, and documentation, Enforce configuration vs. customization standards, Run technical review boards and release governance, Manage change control and upgrade readiness processes, Coach and develop platform engineering talent, Coordinate partners, contractors, and vendors, Maintain operational KPIs and executive reporting", "teamCollaboration" : "Cross-functional teams; Partners, contractors, vendors", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "IT service management; Enterprise application platforms", "domainList" : [ "it-service-management", "enterprise-application-platforms" ], "domainSpecificKnowledge" : [ "IT service management", "Enterprise application platforms" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Executive reporting", "documentationSkills" : "Documentation", "continuousLearning" : "Talent development", "problemSolvingSkills" : "Decision-making", "specialRequirements" : "24/7 operations support, On-call flexibility, Reachable during off-hours", "outcomesObjectives" : "Maintain operational KPIs", "qualificationsBasic" : "Bachelor’s degree in IT, Computer Science, or related field, or equivalent experience, Demonstrated experience administering and supporting enterprise application platforms, Prior experience leading or mentoring technical staff, Strong understanding of IT service management practices, Ability to balance people leadership with technical and operational responsibilities, Strong communication, prioritization, and decision-making skills", "qualificationsPreferred" : "Experience leading teams supporting business-critical or enterprise-scale applications, Experience partnering with architecture, security, or compliance teams, Familiarity with vendor and contract management, Experience leading service improvement or transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. • Own platform availability, performance, and operational health. • Oversee instances (prod/non‑prod), upgrades, patching, and release cycles. • Ensure security, access control, and audit readiness. • Translate the Platform Owner’s roadmap into executable work plans. • Lead ServiceNow admins, developers, and technical leads. • Ensure consistent delivery practices, testing, and documentation. • Enforce configuration vs. customization standards. • Run technical review boards and release governance. • Manage change control and upgrade readiness processes. • Coach and develop platform engineering talent. • Coordinate partners, contractors, and vendors as needed. • Maintain operational KPIs and executive reporting. Schedule & Presence: This on-site role supports 24/7 operations through real-time collaboration, standard shifts occur within a 6:00 AM - 6:00 PM window, Monday through Friday. Additionally, this position requires scheduled on-call flexibility and the ability to remain reasonably reachable during off-hours for critical business continuity. Preferred Qualifications Experience leading teams supporting business‑critical or enterprise‑scale applications. Experience partnering with architecture, security, or compliance teams. Familiarity with vendor and contract management. Experience leading service improvement or transformation initiatives. Required Qualifications •Bachelor’s degree in Information Technology, Computer Science, or a •related field, or equivalent experience. •Demonstrated experience administering and supporting enterprise application platforms. •Prior experience leading or mentoring technical staff. •Strong understanding of IT service management practices. •Ability to balance people leadership with technical and operational responsibilities. •Strong communication, prioritization, and decision‑making skills.", "summaryDescription" : "ServiceNow Platform Team Lead at HDR. Skills: ServiceNow platform, Team leadership. Own platform availability, performance, and operational health. Oversee instances, upgrades, patching, and release cycles", "createdAt" : "2026-06-14T20:46:15.020", "lastUpdated" : "2026-06-15T21:18:40.261", "ingestTimestamp" : "2026-06-14T20:46:15.020", "mongoId" : "6a2cce7274d8ee00a0a2c2c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 215000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "IT service management", "Leadership", "ServiceNow platform", "Team leadership", "Platform availability", "Performance", "Operational health", "Instance management", "Release cycles", "Access control", "Audit readiness", "Work plans", "Delivery practices", "Configuration standards", "Customization standards", "Change control", "Upgrade readiness", "Talent development", "Vendor management", "Contract management", "KPI maintenance", "Executive reporting", "Roadmap planning", "Enterprise application platforms", "ServiceNow" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ebcf292fd229cf736d0", "title" : "Principal Platform Architect - Federal", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Platform Architect - Federal at ServiceNow in San Diego, USA, adjusted for executive seniority and full-time employment." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-16T11:53:26.934", "fingerprint" : "91163df3855638b2211dca67d0f430d67c77549a2e537aba97f8717cea63136a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000131946959-principal-platform-architect-federal", "externalId" : "744000131946959", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. You will be part of the Customer Outcomes team. Our purpose is to accelerate platform adoption and improve customer outcomes. We do this through a portfolio of services, delivered by outstanding consultants, using our ecosystem of partners, our leading practices, methodologies and tools based on our experiences from 1000's of customer engagements. What you get to do in this role: The Customer Outcomes Principal Platform Architect is a technical advisory role, responsible for helping our customers establish a technical foundation in the ServiceNow Platform and design solutions that improve outcomes. The Principal Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the technical health of the platform. This is a consultative role focused on guiding ServiceNow, partner, and customer employees on the engagement team to provide a solution on a technical architecture designed for long-term success. * You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring and implementation of solutions. * Be a technical expert across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions. * Provide a variety of knowledge across multiple workflows. * Develop relationships with technical and business leaders at the customer site to understand the role of ServiceNow in their digital transformation vision. * Translate goals to outcomes into a customer roadmap. * Translate business information and technical requirements into an architectural blueprint to achieve complex goals. * Engage with the customer's Enterprise Architects to position ServiceNow as the digital transformation platform standard, integrated with the customer's core applications. * Manage technical governance, and an delivery operating model and governance. * Ensure instance health by working with the engagement team to reduce technical debt and align to ServiceNow leading practices. * Support the sales effort by scoping and estimating the engagement and change orders. * Be an active contributor of leading practices and expertise related to the ServiceNow platform. * Maintain skills / certifications on for . * Support the professional development of others through means of mentoring. ## Qualifications To be successful in this role you have: * Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. * 12+ years progressive experience as part of a professional services organization; or equivalent education/experience * Federal Experience * Management consulting experience * Ability to travel up to 80% * Creativity with comfort running programs independently within a \"startup paced\" environment * Success driving complex issues through analysis and resolution * Ability to relay complex information to diverse set of audiences, both technical and non-technical * ServiceNow certifications in aligned workflow * Industry domain expertise in * Large program experience leading architecture and design * Enterprise architecture experience * Cloud application technology experience FD21 For positions in this location, we offer a base pay of $148,000.00-$230,000.00, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://careers.servicenow.com/life-at-servicenow#workpersonas). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com ](mailto:globaltalentss@servicenow.com)for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.", "summaryDescription" : "Principal Platform Architect - Federal at ServiceNow", "postedDate" : "2026-06-12T17:00:40.000", "createdAt" : "2026-06-15T23:55:35.033", "lastUpdated" : "2026-06-16T11:53:26.934", "ingestTimestamp" : "2026-06-15T23:55:35.033", "mongoId" : "6a305ebcf292fd229cf736d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 550000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305347f292fd229cf12126", "title" : "Principal Platform Architect - Federal", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Platform Architect in San Diego, adjusted for executive seniority and the technology industry." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-16T08:11:18.115", "fingerprint" : "ceebf6b138c86450de3d72fb6a2e944eec2751bd4d831e2eee3e98423777eb0d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000131946959-principal-platform-architect-federal", "externalId" : "744000131946959", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. You will be part of the Customer Outcomes team. Our purpose is to accelerate platform adoption and improve customer outcomes. We do this through a portfolio of services, delivered by outstanding consultants, using our ecosystem of partners, our leading practices, methodologies and tools based on our experiences from 1000's of customer engagements. What you get to do in this role: The Customer Outcomes Principal Platform Architect is a technical advisory role, responsible for helping our customers establish a technical foundation in the ServiceNow Platform and design solutions that improve outcomes. The Principal Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the technical health of the platform. This is a consultative role focused on guiding ServiceNow, partner, and customer employees on the engagement team to provide a solution on a technical architecture designed for long-term success. * You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring and implementation of solutions. * Be a technical expert across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions. * Provide a variety of knowledge across multiple workflows. * Develop relationships with technical and business leaders at the customer site to understand the role of ServiceNow in their digital transformation vision. * Translate goals to outcomes into a customer roadmap. * Translate business information and technical requirements into an architectural blueprint to achieve complex goals. * Engage with the customer's Enterprise Architects to position ServiceNow as the digital transformation platform standard, integrated with the customer's core applications. * Manage technical governance, and an delivery operating model and governance. * Ensure instance health by working with the engagement team to reduce technical debt and align to ServiceNow leading practices. * Support the sales effort by scoping and estimating the engagement and change orders. * Be an active contributor of leading practices and expertise related to the ServiceNow platform. * Maintain skills / certifications on for . * Support the professional development of others through means of mentoring. ## Qualifications To be successful in this role you have: * Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. * 12+ years progressive experience as part of a professional services organization; or equivalent education/experience * Federal Experience * Management consulting experience * Ability to travel up to 80% * Creativity with comfort running programs independently within a \"startup paced\" environment * Success driving complex issues through analysis and resolution * Ability to relay complex information to diverse set of audiences, both technical and non-technical * ServiceNow certifications in aligned workflow * Industry domain expertise in * Large program experience leading architecture and design * Enterprise architecture experience * Cloud application technology experience FD21 For positions in this location, we offer a base pay of $148,000.00-$230,000.00, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://careers.servicenow.com/life-at-servicenow#workpersonas). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com ](mailto:globaltalentss@servicenow.com)for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.", "summaryDescription" : "Principal Platform Architect - Federal at ServiceNow", "postedDate" : "2026-06-12T17:00:40.000", "createdAt" : "2026-06-15T21:56:15.794", "lastUpdated" : "2026-06-16T08:11:18.115", "ingestTimestamp" : "2026-06-15T21:56:15.794", "mongoId" : "6a305347f292fd229cf12126", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 550000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098bdf1", "title" : "Data Governance & Data Platform Architect (Manager lead)", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager-level Data Governance & Data Platform Architect in Madrid, Spain, within the FinTech industry, adjusted for seniority and company size." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-16T02:40:37.878", "fingerprint" : "d9810abddcdec8be027168220ef21e2089cf7e3dd9a448de85beeca9686d58fd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4860757101", "externalId" : "4860757101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Data Governance, Data Platform, Lakehouse architecture, Data quality, Data lineage, Metadata management, Data security, Data models, MDM, AWS, Azure, GCP, Databricks", "professionalSkills" : [ "System design", "Data architecture", "Data modeling", "Stakeholder management", "Process definition", "Operating model definition" ], "hardSkillsList" : [ "Data governance strategy", "Data quality standards", "Metadata management", "Data lineage tracking", "Data security models", "Standardized data models", "Data operating model", "Data ingestion", "Data standardization", "Agile methodology", "Data quality metrics", "Data platform adoption", "Data value realization", "Federated architectures", "Domain-oriented architectures", "Data Lakes", "Access control models", "Data governance frameworks", "Data quality monitoring" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Negotiation", "Influencing skills" ], "hardSkills" : [ { "name" : "Data governance strategy", "level" : "intermediate" }, { "name" : "Data quality standards", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage tracking", "level" : "intermediate" }, { "name" : "Data security models", "level" : "intermediate" }, { "name" : "Standardized data models", "level" : "intermediate" }, { "name" : "Data operating model", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data standardization", "level" : "intermediate" }, { "name" : "Agile methodology", "level" : "intermediate" }, { "name" : "Data quality metrics", "level" : "intermediate" }, { "name" : "Data platform adoption", "level" : "intermediate" }, { "name" : "Data value realization", "level" : "intermediate" }, { "name" : "Federated architectures", "level" : "intermediate" }, { "name" : "Domain-oriented architectures", "level" : "intermediate" }, { "name" : "Data Lakes", "level" : "intermediate" }, { "name" : "Access control models", "level" : "intermediate" }, { "name" : "Data governance frameworks", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Negotiation" }, { "name" : "Influencing skills" } ], "majorSkills" : "Data Governance, Data Platform Architecture, Team Leadership", "majorSkillsList" : [ "Data Governance", "Data Platform Architecture", "Team Leadership" ], "coreResponsibilities" : "Lead and develop multidisciplinary teams, Define clear objectives, Assign responsibilities, Ensure efficient execution, Foster a culture of collaboration, Oversee task prioritization, Allocate resources, Resolve blockers, Drive team maturity in Agile practices, Ensure consistency in Scrum ceremonies, Design data governance strategy, Lead implementation of data governance strategy, Supervise use of data governance tools, Integrate data governance tools with models, Ensure documentation of architecture, Ensure documentation of processes, Ensure documentation of decisions, Ensure documentation of standards, Support regulatory requirements, Support audit requirements, Define global data operating model, Evolve global data operating model, Establish governance forums, Establish decision-making bodies, Ensure alignment with Group data policies, Ensure alignment with regulatory frameworks, Define KPIs for data quality, Define KPIs for platform adoption, Define KPIs for data value realization, Oversee integration of data ingestion, Oversee integration of standardization initiatives, Act as bridge between data platform and business, Promote data-as-a-product mindset", "teamCollaboration" : "Multidisciplinary teams; Technical and functional teams; Global teams; Cross-country teams; Business domains; Data Engineering; Architecture; Data product teams", "projectManagementSkills" : [ "Agile methodology", "Scrum ceremonies", "Backlog management" ], "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub; Financial services; Regulatory frameworks; Federated data architectures; Domain-oriented architectures; Data Lakes; Lakehouse architecture", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub", "financial-services", "regulatory-frameworks", "federated-data-architectures", "domain-oriented-architectures", "data-lakes", "lakehouse-architecture" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub", "Financial services", "Regulatory frameworks", "Federated data architectures", "Domain-oriented architectures", "Data Lakes", "Lakehouse architecture" ], "toolProficiency" : [ "Jira", "Confluence", "Openmetada" ], "communicationSkills" : "Technical stakeholders; Business stakeholders; Executive stakeholders", "documentationSkills" : "Structured documentation; Architecture documentation; Process documentation; Decision documentation; Standards documentation", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Critical thinking", "specialRequirements" : "60% on site", "outcomesObjectives" : "Enable trusted data products; Enable scalable data products; Enable business-driven data products; Support regulatory compliance; Support operational excellence; Support advanced analytics use cases; Support AI use cases", "qualificationsBasic" : "Degree in Engineering, Computer Science, Telecommunications, Mathematics, or equivalent, 8-10 years of experience in data-related roles, Experience managing backlogs, Experience applying Agile methodology, Command of Jira and Confluence, Knowledge of data security and access control models, Experience defining data quality metrics, Experience monitoring data quality frameworks", "qualificationsPreferred" : "Experience within PagoNxt highly valued, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. \uD83D\uDCCC What you'll do Role Mission Lead and evolve Getnet Global’s data governance and data platform capabilities to enable trusted, scalable, and business-driven data products across all countries and global teams, supporting regulatory compliance, operational excellence, and advanced analytics/AI use cases. Looking for a Data Governance & Data Platform Manager with strong team‑leadership experience and a strategic vision for data, responsible for driving data governance, data quality, and the enterprise data platform. This role will lead multidisciplinary teams—both technical and functional—and coordinate data ingestion and standardization initiatives across multiple countries, ensuring their integration within the Lakehouse ecosystem. The position requires a balanced combination of leadership, technical expertise, and management skills in Agile environments, as well as a strong focus on structured documentation in Jira and Confluence. \uD83D\uDCCCResponsibilities Team Leadership & Management Lead and develop multidisciplinary teams (Data Governance, Data Engineering, Data Platform) in an Agile environment. Define clear objectives, assign responsibilities, and ensure efficient and coordinated execution in a multi‑country context. Foster a culture of collaboration, technical excellence, and ownership within the team. Oversee task prioritization, resource allocation, and the resolution of blockers. Drive team maturity in Agile practices, ensuring consistency in Scrum ceremonies and continuous improvement. Data Governance Design and lead the implementation of the data governance strategy, including data quality, lineage, metadata, security, and standardized data models. Supervise the use and operations of data‑governance tools (cataloging, quality, lineage, MDM) and their integration with automated, AI‑based models. Ensure comprehensive documentation of architecture, processes, decisions, and standards. Support regulatory and audit requirements related to data management and traceability. Define and evolve the global data operating model (roles, responsibilities, data ownership, stewardship model). Establish governance forums and decision-making bodies (Data Council, Domain Data Owners, etc.). Ensure alignment with Group data policies and regulatory frameworks. Data Platform Define and track KPIs for data quality, platform adoption, and data value realization. Oversee the integration and evolution of the Data Lake/Datamart using technologies such as Databricks, Unity Catalog, etc. Coordinate data ingestion from multiple countries, ensuring harmonization and compliance with corporate standards. Ensure traceability, integrity, and full documentation of the data lifecycle. Agile Methodology, Documentation & Tools Lead Scrum operations across teams: planning, refinements, progress tracking, and retrospectives. Ensure comprehensive and up‑to‑date documentation in Jira, including epics, user stories, acceptance criteria, and task workflows. Maintain solid Confluence documentation, covering architecture, processes, integrations, standards, and key decisions. Ensure proper integration of Agile practices into the global data strategy. Business & Stakeholder Alignment Act as the bridge between data platform capabilities and business domains (Risk, Finance, Operations, CRM and data product teams global and locally). Promote a data-as-a-product mindset across countries and domains. \uD83D\uDCCCRequirements Education Degree in Engineering, Computer Science, Telecommunications, Mathematics, or equivalent. Experience 8–10 years of experience in data‑related roles within the Santander Group, leading both technical and functional teams. Experience within PagoNxt will be highly valued. Experience with federated and domain‑oriented data architectures. Experience with Data Lakes and platforms based on Databricks. Experience in data governance: cataloging, quality, lineage, MDM, standards, etc. Experience managing backlogs and applying Agile methodology. Strong command of Jira and Confluence. Experience with cloud environments (AWS/Azure/GCP). Knowledge of data security and access control models. Experience defining Data Governance frameworks from scratch or scaling them globally. Experience implementing or managing tools such as Openmetada or other data governance tools. Experience defining data quality metrics and monitoring frameworks. Experience driving adoption of enterprise data platforms. \uD83D\uDCCCCompetencies Strong leadership and demonstrated ability to manage complex teams. Strategic vision and critical thinking. Excellent communication skills with technical, business, and executive stakeholders. Results‑driven mindset and commitment to operational excellence. Ability to lead change in large and regulated organizations. Experience working in global, multi-country organizations. Strong negotiation and influencing skills in matrix organizations. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83E\uDDB7 Dental insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCB0 Profit sharing program \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Data Governance & Data Platform Architect (Manager lead) at Getnet. Skills: Data Governance, Data Platform Architecture, Team Leadership. Lead and develop multidisciplinary teams. Define clear objectives", "postedDate" : "2026-06-14T19:21:42.638", "createdAt" : "2026-06-14T19:21:42.638", "lastUpdated" : "2026-06-16T02:40:37.878", "ingestTimestamp" : "2026-06-14T19:21:42.638", "mongoId" : "6a2c94e874d8ee00a098bdf1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data governance strategy", "Data quality standards", "Metadata management", "Data lineage tracking", "Data security models", "Standardized data models", "Data operating model", "Data ingestion", "Data standardization", "Agile methodology", "Data quality metrics", "Data platform adoption", "Data value realization", "Federated architectures", "Domain-oriented architectures", "Data Lakes", "Access control models", "Data governance frameworks", "Data quality monitoring", "Leadership", "Critical thinking", "Negotiation", "Influencing skills", "Data Governance", "Data Platform Architecture", "Team Leadership", "System design", "Data architecture", "Data modeling", "Stakeholder management", "Process definition", "Operating model definition", "Scrum ceremonies", "Backlog management", "Payment solutions", "Fintech", "Acquiring hub", "Financial services", "Regulatory frameworks", "Federated data architectures", "Lakehouse architecture", "Jira", "Confluence", "Openmetada" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098bdf0", "title" : "Data Governance & Data Platform Architect (Functional Lead)", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Data Governance & Data Platform Architect in Madrid, Spain, adjusted for the FinTech industry and company size." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-16T01:27:46.648", "fingerprint" : "d1ca2fdeabb3a72f0746f8aae3b8b866aeccdba574590e50920c23b77abcfd42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4860764101", "externalId" : "4860764101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Databricks, Power BI", "professionalSkills" : [ "Data Governance", "Data Architecture", "Master Data Management", "Data Security", "Access Control" ], "hardSkillsList" : [ "Data quality", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Regulatory compliance" ], "softSkillsList" : [ "Strategic thinking", "Analytical mindset", "Problem-solving" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Lakehouse architecture", "level" : "intermediate" }, { "name" : "Domain-driven design", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinking" }, { "name" : "Analytical mindset" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data Governance, Data Platform Architecture, Lakehouse", "majorSkillsList" : [ "Data Governance", "Data Platform Architecture", "Lakehouse" ], "coreResponsibilities" : "Evolve global governance operating model, Embed data standards into Lakehouse architecture, Coordinate governance practices across countries, Act as bridge between Business Domains, Data Engineering,, Ensure governance principles are applied, Ensure regulatory requirements are applied, Ensure data quality standards are applied", "teamCollaboration" : "Business Domains; Data Engineering; Architecture; Global organization", "domainKnowledge" : "Data Governance frameworks; Data quality dimensions; Metadata management; Data lineage; Lakehouse architecture; Domain-driven design; Master Data Management; Data security; Access control models; Regulatory requirements", "domainList" : [ "data-governance-frameworks", "data-quality-dimensions", "metadata-management", "data-lineage", "lakehouse-architecture", "domain-driven-design", "master-data-management", "data-security", "access-control-models", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Data Governance frameworks", "Data quality dimensions", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Master Data Management", "Data security", "Access control models", "Regulatory requirements" ], "toolProficiency" : [ "Databricks", "Power BI" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "Documentation-oriented working style", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Problem-solving capability", "specialRequirements" : "60% on site", "qualificationsBasic" : "Bachelor's degree in Engineering, Computer Science, Mathematics, or related field, Working knowledge of SQL, Fluency in English", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. \uD83D\uDCCC What you'll do We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. Education Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field. \uD83D\uDCCCTechnical & Functional Knowledge Solid understanding of: Data Governance frameworks Data quality dimensions and monitoring approaches Metadata management and data lineage Data architecture principles (Lakehouse, domain-driven design) Master Data Management (MDM) concepts Data security and access control models Working knowledge of SQL and data environments in Databricks (to engage effectively with technical teams). Understanding of regulatory and compliance requirements related to data management. Familiarity with Power BI or similar tools for governance reporting. \uD83D\uDCCC Key Competencies Strong strategic thinking combined with technical depth. Ability to translate governance principles into architectural requirements. Excellent stakeholder management and communication skills. Ability to influence in a matrix and global organization. Analytical mindset with strong problem-solving capability. Structured and documentation-oriented working style. Fluency in English (mandatory). \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83E\uDDB7 Dental insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCB0 Profit sharing program \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Data Governance & Data Platform Architect (Functional Lead) at Getnet. Skills: Data Governance, Data Platform Architecture, Lakehouse. Evolve global governance operating model. Embed data standards into Lakehouse architecture", "postedDate" : "2026-06-14T17:39:31.494", "createdAt" : "2026-06-14T17:39:31.494", "lastUpdated" : "2026-06-16T01:27:46.648", "ingestTimestamp" : "2026-06-14T17:39:31.494", "mongoId" : "6a2c94e874d8ee00a098bdf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data quality", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Regulatory compliance", "Strategic thinking", "Analytical mindset", "Problem-solving", "Data Governance", "Data Platform Architecture", "Lakehouse", "Data Architecture", "Master Data Management", "Data Security", "Access Control", "Data Governance frameworks", "Data quality dimensions", "Data security", "Access control models", "Regulatory requirements", "Databricks", "Power BI" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20e74d8ee00a09df741", "title" : "Principal Data Architect", "industry" : "IT", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for executive seniority and technology industry." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T06:15:43.071", "fingerprint" : "feb3f11330bb29e92c27c865f22403da4e3983e17efa14953a1e863200607081", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f8dfe430-5be7-4de0-8115-e97c81a26e4a/apply", "externalId" : "f8dfe430-5be7-4de0-8115-e97c81a26e4a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Snowflake, Databricks, Azure data services, Azure Data Lake, Azure Synapse, Azure SQL, Dbt, Spark, Azure Data Factory, Python, R, Scala, SQL", "professionalSkills" : [ "Data architecture strategy", "Data modeling", "Cloud data platforms", "Data pipeline definition", "Data governance", "Metadata management", "Data lineage", "Data security", "Data quality", "AI/ML ecosystems", "Feature stores", "RAG patterns", "Technical leadership", "Architecture reviews" ], "hardSkillsList" : [ "Dimensional modeling", "Data vault methodologies", "3NF modeling", "Lakehouse architecture", "Batch processing", "Real-time systems", "Feature engineering", "Semantic modeling", "Data access patterns" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "Data vault methodologies", "level" : "intermediate" }, { "name" : "3NF modeling", "level" : "intermediate" }, { "name" : "Lakehouse architecture", "level" : "intermediate" }, { "name" : "Batch processing", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Semantic modeling", "level" : "intermediate" }, { "name" : "Data access patterns", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data architecture, Cloud data platforms, Data modeling, AI/ML data ecosystems", "majorSkillsList" : [ "Data architecture", "Cloud data platforms", "Data modeling", "AI/ML data ecosystems" ], "coreResponsibilities" : "Define enterprise data architecture strategy, Design modern data models, Standardize architecture patterns, Lead architecture for cloud data platforms, Ensure optimal performance, Ensure scalability, Ensure cost efficiency, Ensure reliability, Define end-to-end data pipelines, Govern data pipelines, Establish enterprise standards for data governance, Establish standards for metadata, Establish standards for lineage, Establish standards for security, Establish standards for quality, Architect AI/ML-ready data ecosystems, Provide technical leadership, Guide engineering teams, Act as design authority, Ensure consistency in solutions, Ensure scalability in solutions, Ensure adherence to best practices", "teamCollaboration" : "Governance and compliance teams; Engineering teams; Analytics teams; Business teams", "domainKnowledge" : "Dimensional modeling; Data vault; 3NF; Lakehouse; Batch systems; Real-time systems; Feature stores; RAG patterns", "domainList" : [ "dimensional-modeling", "data-vault", "3nf", "lakehouse", "batch-systems", "real-time-systems", "feature-stores", "rag-patterns" ], "domainSpecificKnowledge" : [ "Dimensional modeling", "Data vault", "3NF", "Lakehouse", "Batch systems", "Real-time systems", "Feature stores", "RAG patterns" ], "toolProficiency" : [ "Snowflake", "Databricks", "Azure Data Factory", "Dbt", "Spark" ], "communicationSkills" : "Translate technical concepts; Business insights", "continuousLearning" : "Continuous learning opportunities", "qualificationsBasic" : "10+ years of experience, 5+ years in data architecture, Cloud data platforms expertise, Data modeling knowledge, ETL/ELT tools experience, CI/CD practices experience, Data governance understanding, AI/ML workloads enablement, Stakeholder management skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own and define enterprise data architecture strategy across conceptual, logical, and physical layers, ensuring scalable design across business domains such as finance, sales, product, and operations. Design and standardize modern data models and architecture patterns (dimensional, data vault, 3NF, lakehouse) to support analytics, BI, and operational workloads. Lead architecture for cloud data platforms (Snowflake, Databricks, Azure), ensuring optimal performance, scalability, cost efficiency, and reliability. Define and govern end-to-end data pipelines, including ingestion, transformation, integration, and serving layers across batch and real-time systems. Establish enterprise standards for data governance, metadata, lineage, security, and quality in collaboration with governance and compliance teams. Architect AI/ML-ready data ecosystems, including semantic layers, feature stores, RAG patterns, and governed data access for intelligent applications. Provide technical leadership across initiatives, guiding engineering teams from design to implementation and ensuring alignment with enterprise architecture principles. Act as a design authority in architecture reviews, ensuring consistency, scalability, and adherence to best practices across all data solutions. Requirements: Bring 10+ years of experience in data engineering, analytics, or related technical fields, with at least 5+ years in data architecture or solution architecture roles. Demonstrated expertise in designing and scaling enterprise-grade data platforms in cloud environments. Strong hands-on experience with modern data platforms such as Snowflake, Databricks, and Azure data services (Data Lake, Synapse, Azure SQL). Deep knowledge of data modeling approaches including dimensional modeling, normalized schemas, and data vault methodologies. Proven experience with ETL/ELT tools and frameworks such as dbt, Spark, or Azure Data Factory, along with CI/CD practices. Strong understanding of data governance, security, privacy, metadata management, and data quality frameworks. Experience enabling AI/ML workloads through data architecture, including feature engineering, semantic modeling, and real-time data access patterns. Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business insights. Proven track record of influencing technical strategy and collaborating across engineering, analytics, and business teams in complex environments. Benefits: Competitive base salary aligned with senior-level market benchmarks Comprehensive medical, dental, and vision insurance coverage Remote-first work flexibility 401(k) retirement savings plan with employer contribution options Employee stock purchase plan (where applicable) Paid time off and company holidays Professional development and continuous learning opportunities Inclusive culture with employee resource groups and collaboration communities Wellness and mental health support programs. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Principal Data Architect. Skills: Data architecture, Cloud data platforms, Data modeling, AI/ML data ecosystems. Define enterprise data architecture strategy. Design modern data models", "postedDate" : "2026-06-12T08:01:23.466", "createdAt" : "2026-06-12T08:01:23.466", "lastUpdated" : "2026-06-16T06:15:43.071", "ingestTimestamp" : "2026-06-14T21:46:52.004", "mongoId" : "6a2cb20e74d8ee00a09df741", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Dimensional modeling", "Data vault methodologies", "3NF modeling", "Lakehouse architecture", "Batch processing", "Real-time systems", "Feature engineering", "Semantic modeling", "Data access patterns", "Leadership", "Data architecture", "Cloud data platforms", "Data modeling", "AI/ML data ecosystems", "Data architecture strategy", "Data pipeline definition", "Data governance", "Metadata management", "Data lineage", "Data security", "Data quality", "AI/ML ecosystems", "Feature stores", "RAG patterns", "Technical leadership", "Architecture reviews", "Data vault", "3NF", "Lakehouse", "Batch systems", "Snowflake", "Databricks", "Azure Data Factory", "Dbt", "Spark" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3087bcf292fd229c08c1ae", "title" : "Senior Enterprise Integration Architect", "company" : "Credera", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States", "Chicago", "Illinois", "United States", "Dallas", "Texas", "United States", "Denver", "Colorado", "United States", "Houston", "Texas", "United States", "Los Angeles", "California", "United States", "New York", "New York", "United States", "San Diego", "San Francisco", "California", "United States", "Seattle" ], "timestamp" : "2026-06-16T11:30:08.386", "fingerprint" : "900a302ec120000218c02d9d405ed8204cf0eb3f5ee485bc68cd81633751ab65", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.credera.com/en-us/careers/jobs/8008901?gh_jid=8008901", "externalId" : "8008901", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide. Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Credera and LeapPoint have fully integrated to form a unified global Adobe Practice for their parent company, Omnicom. The combination of Credera’s transformation consulting expertise and LeapPoint’s award-winning Adobe capabilities, integrated into Omnicom’s leading connected capabilities in media, creative, commerce, data, and identity solutions, offers comprehensive, end-to-end transformations at enterprise scale. https://credera.com/en-us/insights/omnicoms-transformation-consultancy-strengthens-capabilities-with-the-launch Credera is seeking a Senior Integration Architect to design and build a connected ecosystem of platforms that drive hyper-personalization, data-driven decisions, and successful outcomes. As a Senior Integration Architect, you will lead the design and implementation of integrations and automations using Adobe Workfront Fusion. This role is client-facing and focuses on solving complex technical challenges, connecting critical business systems, and delivering scalable, enterprise-level solutions that align with client objectives, all while optimizing content supply chain processes. What You Will Do: Integration Design: design complex, enterprise-level integrations and automations using Adobe Workfront Fusion to connect Workfront Workflow with systems such as Workfront Proof, Workfront Planning, AEM Sites experience and training; certifications; etc. We would not anticipate that the individual hired into this role would be near the top end of the compensation range, but that decision will be dependent on the facts associated with each specific individual’s relevant experience for the role. Denver Pay Range $160,000—$200,000 USD For individuals hired to work in the Southern California area, Credera is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the Southern California area and includes the range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; certifications; etc. We would not anticipate that the individual hired into this role would be near the top end of the compensation range, but that decision will be dependent on the facts associated with each specific individual’s relevant experience for the role. Los Angeles Pay Range $160,000—$200,000 USD For individuals hired to work in the Bay Area, Credera is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the Bay Area and includes the range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; certifications; etc. We would not anticipate that the individual hired into this role would be near the top end of the compensation range, but that decision will be dependent on the facts associated with each specific individual’s relevant experience for the role. San Francisco Pay Range $160,000—$200,000 USD For individuals hired to work in New York, Credera is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the State of New York and includes the range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; certifications; etc. We would not anticipate that the individual hired into this role would be near the top end of the compensation range, but that decision will be dependent on the facts associated with each specific individual’s relevant experience for the role. New York City Pay Range $160,000—$200,000 USD For individuals hired to work in Washington, Credera is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the State of Washington and includes the range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; certifications; etc. We would not anticipate that the individual hired into this role would be near the top end of the compensation range, but that decision will be dependent on the facts associated with each specific individual’s relevant experience for the role. Seattle Pay Range $160,000—$200,000 USD For individuals hired to work in Chicago, Credera is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the State of Colorado and includes the range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; certifications; etc. We would not anticipate that the individual hired into this role would be near the top end of the compensation range, but that decision will be dependent on the facts associated with each specific individual’s relevant experience for the role. Chicago Pay Range $160,000—$200,000 USD Learn More: Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development. Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee. We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance. Benefits: Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare Credera will not sponsor applicants for U. S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa). All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.  Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.", "summaryDescription" : "Senior Enterprise Integration Architect at Credera", "postedDate" : "2026-06-16T01:20:48.500", "createdAt" : "2026-06-16T01:20:48.500", "lastUpdated" : "2026-06-16T11:30:08.386", "ingestTimestamp" : "2026-06-16T01:20:48.500", "mongoId" : "6a3087bcf292fd229c08c1ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ebcf292fd229cf736c1", "title" : "Sr Platform Architect", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 200000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Platform Architect in Zurich, Switzerland, adjusted for the SaaS industry and a large company size." }, "location" : "Zurich, CH", "locations" : [ "Zurich", "CH" ], "timestamp" : "2026-06-16T08:16:20.000", "fingerprint" : "bf8be58189a400da435ccd10f20b929e7397e31481ad97db98bbb0993f2d2fda", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000132175899-sr-platform-architect", "externalId" : "744000132175899", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zurich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zurich, Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . You will be part of the Customer Outcomes team. Our purpose is to accelerate platform adoption and improve customer outcomes. We do this through a portfolio of services, delivered by outstanding consultants, using our ecosystem of partners, our leading practices, methodologies and tools based on our experiences from 1000's of customer engagements. What you get to do in this role: The Platform Architect is a technical advisory role, responsible for helping our customers establish a technical foundation in the ServiceNow Platform and design solutions that improve outcomes. The Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the technical health of the platform. This is a consultative role focused on guiding ServiceNow, partner, and customer employees on the engagement team to provide a solution on a technical architecture designed for long-term success. * You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring and implementation of solutions. * Be a technical expert across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions. * Provide a variety of knowledge across multiple workflows. * Develop relationships with technical and business leaders at the customer site to understand the role of ServiceNow in their digital transformation vision. * Translate goals to outcomes into a customer roadmap. * Translate business information and technical requirements into an architectural blueprint to achieve complex goals. * Engage with the customer's Enterprise Architects to position ServiceNow as the digital transformation platform standard, integrated with the customer's core applications. * Be an expert in managing technical governance and delivery operating models. * Ensure instance health by working with the engagement team to reduce technical debt and align to ServiceNow leading practices. * Support the sales effort by scoping and estimating the engagement and change orders. * Be an active contributor of leading practices and expertise related to the ServiceNow platform. Maintain skills / certifications. * Support the professional development of others through means of mentoring. ## Qualifications To be successful in this role you have: * Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. * This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. * Consulting on AI and Agentic AI in the SaaS platform/packaged software. * Understanding of concepts like Autonomous Workforce and how this applies to Service Management. * Industry domain expertise in SaaS. * Designing and implementing Service Management (e.g. CRM, GBS, HR, ITSM, ERP, LowCode) in SaaS platforms/packaged software. * Modelling Service Models and designing Service Catalogs. * Consulting customers on Service Processes and Capabilities. * Success driving complex issues through analysis and resolution. * Ability to relay complex information to diverse set of audiences, both technical and non-technical. * Large program experience leading architecture and design. * Consulting on integrations and lifecycles of data across platforms. * Driving Data Governance for the Service Management Capabilities. * Multiple years progressive experience as part of a professional services organization; or equivalent education/experience. * Ability to travel up to 50%. * Right to work in the country you are applying to ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://careers.servicenow.com/life-at-servicenow#workpersonas). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com ](mailto:globaltalentss@servicenow.com)for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .", "summaryDescription" : "Sr Platform Architect at ServiceNow", "postedDate" : "2026-06-15T11:23:33.000", "createdAt" : "2026-06-16T00:08:29.607", "lastUpdated" : "2026-06-16T08:16:20.000", "ingestTimestamp" : "2026-06-16T00:08:29.607", "mongoId" : "6a305ebcf292fd229cf736c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305347f292fd229cf1211c", "title" : "Sr Platform Architect", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 155000.0, "max" : 205000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Platform Architect in Zurich, Switzerland, adjusted for the SaaS industry and a large company size." }, "location" : "Zurich, CH", "locations" : [ "Zurich", "CH" ], "timestamp" : "2026-06-16T06:49:48.578", "fingerprint" : "fe7ef77be521584942b2669beb527368ce0f04414754947d1d5191a87c403389", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000132175899-sr-platform-architect", "externalId" : "744000132175899", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zurich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zurich, Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . You will be part of the Customer Outcomes team. Our purpose is to accelerate platform adoption and improve customer outcomes. We do this through a portfolio of services, delivered by outstanding consultants, using our ecosystem of partners, our leading practices, methodologies and tools based on our experiences from 1000's of customer engagements. What you get to do in this role: The Platform Architect is a technical advisory role, responsible for helping our customers establish a technical foundation in the ServiceNow Platform and design solutions that improve outcomes. The Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the technical health of the platform. This is a consultative role focused on guiding ServiceNow, partner, and customer employees on the engagement team to provide a solution on a technical architecture designed for long-term success. * You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring and implementation of solutions. * Be a technical expert across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions. * Provide a variety of knowledge across multiple workflows. * Develop relationships with technical and business leaders at the customer site to understand the role of ServiceNow in their digital transformation vision. * Translate goals to outcomes into a customer roadmap. * Translate business information and technical requirements into an architectural blueprint to achieve complex goals. * Engage with the customer's Enterprise Architects to position ServiceNow as the digital transformation platform standard, integrated with the customer's core applications. * Be an expert in managing technical governance and delivery operating models. * Ensure instance health by working with the engagement team to reduce technical debt and align to ServiceNow leading practices. * Support the sales effort by scoping and estimating the engagement and change orders. * Be an active contributor of leading practices and expertise related to the ServiceNow platform. Maintain skills / certifications. * Support the professional development of others through means of mentoring. ## Qualifications To be successful in this role you have: * Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. * This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. * Consulting on AI and Agentic AI in the SaaS platform/packaged software. * Understanding of concepts like Autonomous Workforce and how this applies to Service Management. * Industry domain expertise in SaaS. * Designing and implementing Service Management (e.g. CRM, GBS, HR, ITSM, ERP, LowCode) in SaaS platforms/packaged software. * Modelling Service Models and designing Service Catalogs. * Consulting customers on Service Processes and Capabilities. * Success driving complex issues through analysis and resolution. * Ability to relay complex information to diverse set of audiences, both technical and non-technical. * Large program experience leading architecture and design. * Consulting on integrations and lifecycles of data across platforms. * Driving Data Governance for the Service Management Capabilities. * Multiple years progressive experience as part of a professional services organization; or equivalent education/experience. * Ability to travel up to 50%. * Right to work in the country you are applying to ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://careers.servicenow.com/life-at-servicenow#workpersonas). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com ](mailto:globaltalentss@servicenow.com)for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .", "summaryDescription" : "Sr Platform Architect at ServiceNow", "postedDate" : "2026-06-15T11:23:33.000", "createdAt" : "2026-06-15T21:57:42.309", "lastUpdated" : "2026-06-16T06:49:48.578", "ingestTimestamp" : "2026-06-15T21:57:42.309", "mongoId" : "6a305347f292fd229cf1211c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca51674d8ee00a09b49ea", "title" : "Principal Architect", "company" : "Renaissance Learning EMEA APAC", "industry" : "Education", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Architect in Houghton-Le-Spring, UK, adjusted for executive seniority and the education industry." }, "location" : "Houghton-Le-Spring", "locations" : [ "Houghton-Le-Spring" ], "timestamp" : "2026-06-15T08:39:22.479", "fingerprint" : "b182bf167307632fcd8466b8f12e73976e18a088ccf222dca0bbff22b81fe317", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/renaissancelearning-emea/jobs/5240085008", "externalId" : "5240085008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houghton-Le-Spring", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.8406536,-1.4699279" } ], "locationText" : "Houghton-Le-Spring, United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "APIs, Cloud-native architectures", "professionalSkills" : [ "System design", "Technical strategy", "Solution assurance" ], "hardSkillsList" : [ "Architecture governance", "Technical standards", "Technical roadmaps" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Architecture governance", "level" : "intermediate" }, { "name" : "Technical standards", "level" : "intermediate" }, { "name" : "Technical roadmaps", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Architecture Leadership, Technical Strategy, Cross-Functional Leadership", "majorSkillsList" : [ "Architecture Leadership", "Technical Strategy", "Cross-Functional Leadership" ], "coreResponsibilities" : "Define architecture principles, Establish architecture review forums, Drive consistency technical approaches, Maintain visibility technical decisions, Own technical roadmap, Identify opportunities, Identify technical debt, Identify platform risks, Identify modernisation priorities, Support platform scalability, Support AI enablement, Evaluate emerging technologies, Guide adoption decisions, Bring together SMEs, Facilitate collaborative decision-making, Provide architectural guidance, Provide design reviews, Provide solution assurance, Encourage reuse, Encourage standardisation, Encourage platform thinking, Act as technical liaison, Represent regional requirements, Communicate architectural direction, Communicate technical trade-offs, Build relationships, Promote engineering excellence, Promote technical quality, Support AI-enabled development, Support innovation, Mentor engineers, Mentor technical leaders", "teamCollaboration" : "Cross-functional teams; Global teams; Technical teams; Business teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI-enabled operating model; Platform-centric operating model; Educational assessments; Data analytics; Literacy solutions; Maths solutions", "domainList" : [ "ai-enabled-operating-model", "platform-centric-operating-model", "educational-assessments", "data-analytics", "literacy-solutions", "maths-solutions" ], "domainSpecificKnowledge" : [ "AI-enabled operating model", "Platform-centric operating model", "Educational assessments", "Data analytics", "Literacy solutions", "Maths solutions" ], "communicationSkills" : "Technical concepts; Architectural direction; Technical trade-offs", "innovationCreativity" : "AI enablement; Innovation", "problemSolvingSkills" : "Technical decisions; Solution assurance", "specialRequirements" : "DBS checks, Background checks, Work permit required", "qualificationsBasic" : "Senior architecture leadership roles, Technical leadership roles, SaaS organizations experience, Product-led organizations experience, Software engineering background, Distributed systems background, APIs background, Cloud-native architectures background, Establish architecture governance, Establish technical standards, Influence technical direction, Work across Engineering, Work across Infrastructure, Work across Security, Work across Data, Work across QA, Work across Product, Define technical roadmaps, Align technology strategy, Complex organizations experience, Internationally distributed organisations experience, Excellent communication skills, Facilitation skills, Balance strategic vision, Practical delivery realities", "qualificationsPreferred" : "EdTech environments experience, Global platform discussions representation", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Renaissance® is a global leader in education technology. We help schools and school groups in the UK and around the world with educational assessments, practice and intervention solutions, and data analytics. Renaissance now incorporates GL Assessment (known internationally as GL Education), too – a leading provider of educational assessments. Together, our assessments offer the ideal starting point to help teachers understand their students’ strengths and pinpoint areas of need. Our teaching and learning tools then provide effective next steps, with online literacy and maths solutions that meet students exactly where we are. Worldwide, we support over 18 million students, operating in over 100 countries. We're evolving toward an AI-enabled, platform-centric operating model and need a Principal Architect to provide technical leadership across our Global Technology function. You'll shape our technical direction, establish governance, and ensure architectural alignment across platforms, products, and services—without being pulled into day-to-day delivery. You'll be a facilitator and technical leader, bringing together experts across disciplines to define standards, evaluate solutions, and drive sound technical decisions. What you'll be getting up to with us: Architecture Leadership & Governance Define architecture principles, standards, and governance that enable (not block) delivery Establish architecture review forums and decision-making processes Drive consistency in technical approaches, tooling, and platform standards Maintain visibility and accountability for significant technical decisions Technical Strategy & Roadmap Own and maintain the technical roadmap aligned with business and product strategy Identify opportunities, technical debt, platform risks, and modernisation priorities Support platform scalability and AI enablement initiatives Evaluate emerging technologies and guide adoption decisions Cross-Functional Leadership Bring together SMEs across Engineering, Infrastructure, Security, Data, QA, and Product Facilitate collaborative decision-making on complex initiatives Provide architectural guidance, design reviews, and solution assurance Encourage reuse, standardisation, and platform thinking Stakeholder & Global Collaboration Act as technical liaison with global teams, including US-based functions Represent regional requirements in global platform discussions Communicate architectural direction and technical trade-offs clearly to all audiences Build strong relationships across technical and business teams Continuous Improvement Promote engineering excellence and technical quality Support AI-enabled development and innovation Mentor engineers and technical leaders Experience we’d love to see includes: Significant experience in senior architecture or technical leadership roles within SaaS or product-led organisations Experience in EdTech or SaaS environments Strong background in software engineering, distributed systems, APIs, and cloud-native architectures Proven ability to establish architecture governance and technical standards across multiple teams Experience influencing technical direction without direct line management authority Ability to work effectively across Engineering, Infrastructure, Security, Data, QA, and Product functions Track record defining technical roadmaps and aligning technology strategy with business objectives Experience in complex, multi-team, or internationally distributed organisations Excellent communication skills—explaining technical concepts to both technical and non-technical audiences Strong facilitation skills to drive discussions to conclusions and establish accountability Ability to balance strategic vision with practical delivery realities \uD83C\uDFE2Additional information: \uD83D\uDCCDThis is role is a Hybrid role based out of our Houghton Le Spring office – the team come together a couple of times a week. There may be travel to other offices on occasion. Please note: Applications will be reviewed week commencing 22nd June. \uD83C\uDF81Benefits: 25 Days holiday a year plus Bank Holidays (3 to be used for our Christmas shutdown) A day off for your birthday to celebrate in style! Workplace Nursery scheme 5 volunteering days a year to use for the causes of your choice Access to a benefits and discount platform with access to 1000’s of discounts at retailers, leisure attractions and restaurants BUPA Healthcare, Life assurance, Permanent health insurance Pension scheme with enhanced employer contribution – up to 8% Season ticket loan and EAP Unfortunately we are unable to offer sponsorship for this position. We have an ongoing commitment to Diversity, Equity and Inclusion and have taken strides to become a more welcoming and inclusive workplace, including the introduction of our DEI Matters Network which is owned and driven by our staff. We are an equal opportunities employer. We encourage and welcome applications from all underrepresented groups, as we believe and strive for community representation within our organisation. If you have a disability and would prefer to apply in a different format or would like us to make reasonable adjustments to enable you to apply or attend any interview, please contact us and we will talk this through with you. All your information will be kept confidential according to GDPR guidelines. Please note that we can only consider applicants who already hold a full work permit. This role is subject to DBS and background checks.", "summaryDescription" : "Principal Architect at Renaissance Learning EMEA APAC. Skills: Architecture Leadership, Technical Strategy, Cross-Functional Leadership. Define architecture principles. Establish architecture review forums", "postedDate" : "2026-06-14T06:21:47.949", "createdAt" : "2026-06-14T06:21:47.949", "lastUpdated" : "2026-06-15T08:39:22.479", "ingestTimestamp" : "2026-06-14T06:21:47.949", "mongoId" : "6a2ca51674d8ee00a09b49ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Architecture governance", "Technical standards", "Technical roadmaps", "Leadership", "Mentoring", "Architecture Leadership", "Technical Strategy", "Cross-Functional Leadership", "System design", "Technical strategy", "Solution assurance", "Roadmap planning", "AI-enabled operating model", "Platform-centric operating model", "Educational assessments", "Data analytics", "Literacy solutions", "Maths solutions" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caffc74d8ee00a09d867b", "title" : "Creative Workflow Architect (Fluent in Japanese)", "company" : "Runway", "industry" : "Marketing & Creative", "salary" : { "min" : 160000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T04:27:58.924", "fingerprint" : "0ddfcb4e6ac7493d9b3a7b7d1062b7bc51eaee54626bbea883bb582faf388b0d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/runway-ml/6da9edec-0ad7-4871-b51f-cc2714688d91/application", "externalId" : "6da9edec-0ad7-4871-b51f-cc2714688d91", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, Adobe, DaVinci Resolve", "professionalSkills" : [ "Content creation", "Product expertise", "Customer feedback translation" ], "hardSkillsList" : [ "Workflow design", "Custom pipeline development" ], "hardSkills" : [ { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Custom pipeline development", "level" : "intermediate" } ], "majorSkills" : "Creative workflows, Product demonstrations, Customer guidance", "majorSkillsList" : [ "Creative workflows", "Product demonstrations", "Customer guidance" ], "coreResponsibilities" : "Push models using workflows, Craft content for demonstrations, Lead demonstrations for prospects, Leverage and utilize Runway strategically, Provide guidance to prospects, Provide training to prospects, Highlight common use cases, Explain common workflows, Serve as product expert, Understand potential of utilizing Runway, Champion for customers, Translate customer feedback, Liaise between customers and teams, Provide best support, Provide best experience", "teamCollaboration" : "Partner with Sales teams; Partner with Creative teams; Work with internal teams", "domainKnowledge" : "World models; AI simulation; Creative pipeline", "domainList" : [ "world-models", "ai-simulation", "creative-pipeline" ], "domainSpecificKnowledge" : [ "World models", "AI simulation", "Creative pipeline" ], "toolProficiency" : [ "Runway" ], "communicationSkills" : "Presenting built work", "continuousLearning" : "Learn about AI", "qualificationsBasic" : "Full professional bilingual fluency in Japanese and English, Experience creating content from end to end, Comfort working with creative tools, Ability to deliver complex information clearly", "qualificationsPreferred" : "Experience working with Japanese enterprises", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Open to hiring remote across North America (west coast only) and the UK — we also have offices in San Francisco, Seattle, and London. Japan has been one of Runway’s fastest-growing markets, even without a major commercial presence – it's our third-largest market among both enterprise and self-serve customers, and the fastest-growing self-serve market in Asia. In addition to millions of individual users, we've seen 300% growth in enterprise customers in the past 12 months, and Japan has driven a third of our sales volume in Asia overall. As a result, we are looking for a Creative Workflow Architect to join our fast growing creative team. You’ll work closely with our Sales and Account Management teams to convey the value of Runway to Enterprise prospects and customers, specifically in the Japan market. As a user of Runway yourself and a content creator, you will handle pre and post-sale work, ensuring that customers are using Runway to it’s full potential, as well as any creative work in the product, inclusive of media content, presets, featured workflows, etc. You’ll also have a hand in any marketing sprints for model and feature releases. This role requires full professional bilingual fluency in Japanese and English. Things are always moving quickly at Runway. We need team members with an agile and dynamic mentality who are comfortable with change and always willing to go above and beyond to ensure a job is done optimally. WHAT YOU’LL DO - Creatively push the models available on Runway further using workflows and custom pipelines - Craft content and lead demonstrations to show Enterprise prospects and customers how to leverage and utilize Runway most strategically - Partner with our Sales and Creative teams to provide guidance and training to Enterprise prospects and customers. - Highlight and explain common use cases and workflows for Enterprise organizations - Serve as the day-to-day product expert for both pre and post sales conversations; help businesses understand the potential of utilizing Runway in their creative pipeline - Be a champion for our customers and work with our internal teams to translate customer feedback into product insights; liaise between customers and our internal teams in order to provide the best support and experience possible WHAT YOU’LL NEED - Full professional bilingual fluency in Japanese and English - Experience & expertise creating content from end to end - Experience working with Japanese enterprises a plus - Passion for experimentation when it comes to content creation and creative workflows- you care more about “how we get there” than “the destination” - Comfort working with creative tools in addition to Runway (Adobe, DaVinci Resolve etc), as well as an understanding of our technical and competitive landscape - You love sharing and presenting the things you’ve built - Ability to deliver complex information to customers in a clear and concise way - Ability to thrive in a constantly changing and growing environment - Excitement about AI and motivation to continuously learn more about this new and exciting space! Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024", "summaryDescription" : "Creative Workflow Architect (Fluent in Japanese) at Runway. Skills: Creative workflows, Product demonstrations, Customer guidance. Push models using workflows. Craft content for demonstrations", "createdAt" : "2026-06-14T21:05:10.055", "lastUpdated" : "2026-06-16T04:27:58.924", "ingestTimestamp" : "2026-06-14T21:05:10.055", "mongoId" : "6a2caffc74d8ee00a09d867b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Workflow design", "Custom pipeline development", "Creative workflows", "Product demonstrations", "Customer guidance", "Content creation", "Product expertise", "Customer feedback translation", "World models", "AI simulation", "Creative pipeline", "Runway" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a687d74d8ee00a0634569", "title" : "Principal Data Architect", "company" : "Commvault", "industry" : "Technology", "salary" : { "min" : 123250.0, "max" : 224250.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tinton Falls, New Jersey, United States of America", "locations" : [ "Tinton Falls", "New Jersey", "United States of America" ], "timestamp" : "2026-06-14T20:16:26.050", "fingerprint" : "86361aa5a5ada23456cb34e7780114be15b16051c631ad4e2e6940d01ec87571", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/commvault/jobs/5235416008", "externalId" : "5235416008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tinton Falls", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.2890734,-74.0927967" } ], "locationText" : "Tinton Falls, New Jersey, United States", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Snowflake, Databricks, Azure, Azure Data Lake, Azure SQL, Synapse, dbt, Azure Data Factory, Spark", "professionalSkills" : [ "Enterprise data architecture", "Solution architecture", "Data modeling", "Data warehousing", "Data marts", "Lakehouse architectures", "Data governance", "Data quality", "Metadata management", "Data security", "Data privacy" ], "hardSkillsList" : [ "Data modeling", "Dimensional modeling", "Normalized modeling", "Data vault modeling", "Enterprise-scale data warehouses", "ETL", "ELT", "CI/CD practices" ], "softSkillsList" : [ "Leadership", "Analytical skills", "Documentation skills" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "Normalized modeling", "level" : "intermediate" }, { "name" : "Data vault modeling", "level" : "intermediate" }, { "name" : "Enterprise-scale data warehouses", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "ELT", "level" : "intermediate" }, { "name" : "CI/CD practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Analytical skills" }, { "name" : "Documentation skills" } ], "majorSkills" : "Data architecture, Cloud data platforms, Data modeling, Data governance", "majorSkillsList" : [ "Data architecture", "Cloud data platforms", "Data modeling", "Data governance" ], "coreResponsibilities" : "Define enterprise data architecture strategy, Establish vision for data, Establish standards for data, Establish roadmap for data, Model data, Integrate data, Govern data, Deliver data, Support analytics use cases, Support reporting use cases, Support AI/ML use cases, Define architecture principles, Define architecture standards, Influence platform decisions, Influence tooling decisions, Partner with data engineering, Partner with cross-functional teams, Ensure solutions align to strategy, Ensure solutions align to governance, Ensure solutions align to scalability", "teamCollaboration" : "Data engineering teams; Cross-functional teams", "domainKnowledge" : "Cloud data platforms; Modern data stack; Data governance frameworks; AI/ML data needs", "domainList" : [ "cloud-data-platforms", "modern-data-stack", "data-governance-frameworks", "ai-ml-data-needs" ], "domainSpecificKnowledge" : [ "Cloud data platforms", "Modern data stack", "Data governance frameworks", "AI/ML data needs" ], "toolProficiency" : [ "dbt", "Azure Data Factory", "Spark" ], "communicationSkills" : "Communicate effectively; Simplify complexity; Drive shared understanding", "documentationSkills" : "Documentation skills", "continuousLearning" : "Continuous professional development; Product training", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "10+ years experience, 5+ years data architecture, Cloud data platforms experience, Data modeling expertise, ETL/ELT tools experience, Data governance knowledge, Data quality knowledge, Metadata management knowledge, Security concepts knowledge, Privacy concepts knowledge", "qualificationsPreferred" : "SaaS experience preferred, B2B software experience preferred, Enterprise technology experience preferred, BI/analytics tools familiarity, Data catalog tools familiarity, Governance tools familiarity, MDM experience, Reference data management experience, AI/ML data needs knowledge, Agile environment experience, Product-oriented delivery experience", "workSiteFlexibility" : "Remote", "rawDescription" : "Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. The Opportunity... The Principal Data Architect is a senior, hands-on architecture role responsible for defining and driving Commvault’s enterprise data architecture strategy. This role establishes the vision, standards, and roadmap for how data is modeled, integrated, governed, and delivered across the organization to support scalable analytics, operational reporting, and AI/ML use cases. This role combines deep, practical expertise in modern cloud data platforms (e.g., Snowflake, Databricks, Azure) with strong architectural leadership. The Principal Data Architect defines architecture principles and standards, influences platform and tooling decisions, and partners with data engineering and cross-functional teams to ensure solutions are aligned to enterprise data strategy, governance frameworks, and long-term scalability. What You'll Do... Enterprise Data Architecture or equivalent practical experience. 10+ years of experience in data engineering, database development, analytics, or related roles, with at least 5+ years focused on data architecture or solution architecture for data platforms. Deep hands‑on experience with cloud data platforms, including Snowflake, Databricks, and Azure data services (e.g., Azure Data Lake, Azure SQL, Synapse), and modern data stack components. Proven expertise in data modeling (dimensional, normalized, and/or data vault) and designing enterprise‑scale data warehouses, data marts, or Lakehouse‑style architectures. Strong hands‑on experience with ETL/ELT tools and frameworks (e.g., dbt, Azure Data Factory, Spark, or similar) and associated CI/CD practices. Solid understanding of data governance, data quality, metadata management, security, and privacy concepts and how to operationalize them in architecture. Demonstrated ability to lead architecture for complex, cross‑functional initiatives, influence decisions, and communicate effectively with both technical and non‑technical stakeholders. Excellent analytical, documentation, and communication skills, with the ability to simplify complexity and drive shared understanding Preferred Skills & Experience Experience working in or supporting SaaS, B2B software, or enterprise technology organizations. Familiarity with BI/analytics tools such as Power BI, Tableau, or similar, including semantic models and data access patterns. Exposure to data catalog and governance tools (e.g., Microsoft Purview, Collibra, Alation, or similar). Experience with MDM and reference data management across multiple business domains. Knowledge of AI/ML data needs and designing data architectures that support feature stores, experimentation, and model monitoring. Background working in Agile or product‑oriented delivery environments. You’ll love working here because... Continuous professional development, product training, and career pathing An inclusive company culture, opportunity to join our Employee Groups   Generous benefits supporting your health, financial security, and work-life balance  Employee stock purchase plan (ESPP)   Ready to #makeyourmark at Commvault? Apply now!    #LI-JS1 #LI-Remote Thank you for your interest in Commvault. Reflected below is the minimum and maximum base salary range for this role. At Commvault we use broad salary ranges in our job postings to reflect the diverse levels of expertise and experience among our candidates and is not reflective of the total compensation and benefits package. The specific salary offered will be determined based on your unique qualifications, including your relevant experience, skills, and the value you bring to the role. While the range provides a general idea of the compensation, it is important to note that placements within the range are not automatic and will be carefully considered to ensure a fair and competitive offer. We are committed to rewarding talent and experience. Pay Range $123,250—$224,250 USD Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com. Commvault's Privacy Policy", "summaryDescription" : "Principal Data Architect at Commvault. Skills: Data architecture, Cloud data platforms, Data modeling, Data governance. Define enterprise data architecture strategy. Establish vision for data", "postedDate" : "2026-06-11T21:44:17.493", "createdAt" : "2026-06-11T21:44:17.493", "lastUpdated" : "2026-06-14T20:16:26.050", "ingestTimestamp" : "2026-06-11T21:44:17.493", "mongoId" : "6a2a687d74d8ee00a0634569", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 123250, "salaryAnnualMax" : 224250, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dimensional modeling", "Normalized modeling", "Data vault modeling", "Enterprise-scale data warehouses", "ETL", "ELT", "CI/CD practices", "Leadership", "Analytical skills", "Documentation skills", "Data architecture", "Cloud data platforms", "Data governance", "Enterprise data architecture", "Solution architecture", "Data warehousing", "Data marts", "Lakehouse architectures", "Data quality", "Metadata management", "Data security", "Data privacy", "Modern data stack", "Data governance frameworks", "AI/ML data needs", "dbt", "Azure Data Factory", "Spark" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "business-technology---it-business-apps", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca5bb74d8ee00a09b7e78", "title" : "Principal Architect", "company" : "Ezra", "industry" : "FinTech", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Architect in Nairobi, Kenya, adjusted for executive seniority in the FinTech industry." }, "location" : "Nairobi, Nairobi, Kenya", "locations" : [ "Nairobi", "Nairobi", "Kenya" ], "timestamp" : "2026-06-15T07:57:08.772", "fingerprint" : "b7baedc719fb61ea23897bef63eadc3fe419ef9c36c24d9544d11cc2677b055f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ezra.world/company/careers/7650898003?gh_jid=7650898003", "externalId" : "7650898003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nairobi", "country" : "Kenya", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.3023980,36.8288509" } ], "locationText" : "Nairobi, Kenya", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Clojure, AI, Cloud-native", "professionalSkills" : [ "System design", "Technical strategy", "Architectural oversight", "Roadmap planning", "Risk management" ], "hardSkillsList" : [ "Service-based design", "Event-driven systems", "Data modeling", "High availability", "Fault tolerance", "Secure coding" ], "softSkillsList" : [ "Mentorship", "Leadership" ], "hardSkills" : [ { "name" : "Service-based design", "level" : "intermediate" }, { "name" : "Event-driven systems", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "High availability", "level" : "intermediate" }, { "name" : "Fault tolerance", "level" : "intermediate" }, { "name" : "Secure coding", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" }, { "name" : "Leadership" } ], "majorSkills" : "Enterprise architecture, Platform engineering, Data architecture, AI integration", "majorSkillsList" : [ "Enterprise architecture", "Platform engineering", "Data architecture", "AI integration" ], "coreResponsibilities" : "Co-define technical architecture, Champion technical standards, Institute governance models, Ensure architectural adherence, Promote platform engineering best practices, Promote data architecture best practices, Collaborate with product managers, Collaborate with engineering managers, Collaborate with business leaders, Translate product vision, Contribute to production code, Act as technical coach, Guide resolution of technical problems, Define technology standards, Define development methodologies, Define security best practices, Advocate for Test-Driven Development, Advocate for secure coding, Lead code reviews, Lead design reviews, Identify emerging technologies, Pilot emerging technologies, Promote emerging technologies, Drive architectural evolution, Shape strategic direction, Review technical designs, Design architectural patterns, Promote architectural patterns, Drive data modeling, Drive data architecture, Drive data store evolution, Identify systemic architectural risk, Resolve technical debt, Consult on roadmap execution, Provide architectural clarity, Provide hands-on advice, Unblock teams, Accelerate delivery", "teamCollaboration" : "Multiple engineering teams; Cross-functional teams; Engineering leaders; Product managers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Lending platforms; Data platforms; FinTech; Digital lending; Mobile wallets; Cloud-native solutions; AI-enabled systems; Service-based design; Event-driven systems; Data architecture; Containerisation; CI/CD pipelines; High availability; Fault tolerance; Data integrity; System resilience", "domainList" : [ "lending-platforms", "data-platforms", "fintech", "digital-lending", "mobile-wallets", "cloud-native-solutions", "ai-enabled-systems", "service-based-design", "event-driven-systems", "data-architecture", "containerisation", "ci-cd-pipelines", "high-availability", "fault-tolerance", "data-integrity", "system-resilience" ], "domainSpecificKnowledge" : [ "Lending platforms", "Data platforms", "FinTech", "Digital lending", "Mobile wallets", "Cloud-native solutions", "AI-enabled systems", "Service-based design", "Event-driven systems", "Data architecture", "Containerisation", "CI/CD pipelines", "High availability", "Fault tolerance", "Data integrity", "System resilience" ], "innovationCreativity" : "Emerging technologies; AI practices", "problemSolvingSkills" : "Technical problem solving", "outcomesObjectives" : "Reduced technical debt; Improved system reliability; Accelerated delivery velocity; Sustained platform stability; High-performance platform", "qualificationsBasic" : "5+ years experience, Hands-on technical expertise, Deep technical knowledge, Experience in software architecture, Experience in platform architecture, Experience in data architecture, Experience in lending platforms, Experience in data platforms", "qualificationsPreferred" : "Experience with AI-enabled systems, Experience with cloud-native solutions", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Principal Architect Location: Nairobi, Kenya Reports to: Director, Technology Delivery About the role: The Principal Architect is a highly experienced, hands-on, senior individual contributor who is accountable for the long-term architectural vision, strategy, and technical standards for our mission-critical lending, data, and customer value platform. This role balances deep, hands-on technical expertise in software, platform, and data architecture with the ability to influence and guide multiple engineering teams. The Principal Architect ensures that all technical domains are unified under a coherent, scalable, resilient, and secure enterprise architecture that directly supports the company’s mission and aggressive growth strategy. Main Objectives & Responsibilities: Architectural Vision & Governance: Co-define and champion the long-term technical architecture and standards for the entire platform, ensuring alignment across software engineering, platform engineering, and data architecture domains. Technical Strategy & Architectural Oversight: Institute governance models that ensure architectural adherence, quality, and consistency across all technology domains and that decisions promote scalability, security, and maintainability. Platform & Data Excellence: Establish and promote best practices for platform engineering (DevOps & cloud) and data architecture, in line with a culture of system resilience and data integrity. Cross-Functional Enablement: Collaborate strategically with product managers, engineering managers, and business leaders to translate complex product vision into clear, robust, and well-governed technical architectures and execution plans. Hands-on Delivery & Mentorship: Contribute directly to production code in critical areas, acting as an additional technical coach for engineers and guiding the resolution of the most challenging technical problems. Contribution & Impact: This role is paramount for ensuring the architectural soundness of our core platform as the company evolves and scales. Your expertise will directly result in significantly reduced technical debt, improved system reliability, and an accelerated velocity for delivering new, market-enabling business capabilities. Key measures of success include the sustained stability and high-performance of the core Java and Clojure platform, and the successful, strategic integration of advanced technologies and architectural patterns such as AI-enabled systems and cloud-native solutions. Key responsibilities: Architectural Leadership and Mentorship Partner with the CTO, the Director of Technology Delivery, and Engineering Managers to define, communicate, and execute the technology strategy and architectural roadmap for the lending and data platforms. Lead the architectural design and review process for major platform initiatives. Help mentor and coach engineers, fostering a culture of technical excellence and architectural discipline. Define technology standards, development methodologies, and security best practices for the engineering organization. Technical Excellence and Quality Assurance Help instill a culture of technical rigour, passionately advocating for approaches such as Test-Driven Development and secure coding practices. Lead complex code and design reviews, setting an uncompromisingly high bar for code quality, maintainability, and security across the platform. Identify, pilot, and promote emerging technologies and engineering practices, including cutting edge AI practices. Technology Roadmapping for Software, Platform & Data Drive the architectural evolution towards service-based design, event-driven systems, and a modern, highly scalable data architecture. Shape the strategic direction for hosting infrastructure, containerisation, and CI/CD pipelines in collaboration with Platform Engineering. Review major technical designs and ensure alignment with the long-term system architecture and business objectives. System Resilience and Data Governance Design and promote architectural patterns for high availability, fault tolerance, and security across the entire technology stack. Drive data modeling, data architecture, and the evolution of data store platforms to ensure data integrity, quality, and performance at scale. Proactively identify and resolve systemic architectural risk and technical debt. Delivery Enablement and Performance Optimization Consult on the execution of the technical roadmap, providing architectural clarity and hands-on advice to unblock teams and accelerate delivery. Contribute directly to production code in critical architectural areas and highly complex situations (e.g., core domain logic, common libraries, performance-sensitivity), staying close to the technical implementation. Qualifications and Experience: Bachelor's degree in Computer Science, Software Engineering, or a related field. 10+ years of professional experience in software development, cloud, DevOps, and architectural design, with a minimum of 3 years focused on architecting large-scale, distributed systems. Strong demonstrated expertise in multiple programming languages. Proven expertise in architectural design and operation of event-driven service-based architectures at large scale. Demonstrated ability to define and govern engineering best practices, including TDD and clean code principles. Experience with multiple data store management approaches (e.g., relational vs. NoSQL databases), data modelling, and associated technologies. Expert-level knowledge of CI/CD, DevOps practices, containerisation, and public cloud platforms (AWS, Azure, or GCP). Exceptional communication and influencing skills, with a track record of driving complex technical decisions across multiple teams. Preferred Qualifications: Strong technical background and deep proficiency in Java and Spring Boot. Hands-on experience or architectural oversight in Clojure or other functional programming languages. Proven experience with data architecture, data warehousing concepts, and ETL/ELT pipelines. Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). Experience working in a regulated FinTech or financial services environment. The ideal candidate is someone who: Is an architectural thinker: Functions as a self-driven technology leader capable of defining the future-state architecture, from initial concept to robust, production-ready system design. Is a strategic leader: Functions as a technical visionary, capable of defining and communicating a clear, long-term technical roadmap that aligns with Ezra’s mission to provide digital lending solutions. Is a hands-on architectural driver: Acts as a technical authority who can own projects end-to-end as well as support engineers in complex implementations. Builds architectural alignment: Excels at influencing, collaborating with, and guiding engineering leaders and product managers across multiple domains to achieve a cohesive, scalable system. Drives architectural excellence: Possesses the deep technical knowledge to guide and approve complex designs, ensuring scalability, resilience, and security across software, platform, and data layers. Ensures platform resilience: Proactively manages system risk, creates alignment around risk categorisation and treatment approaches, and co-owns outcomes. Champions quality: Is a passionate advocate for engineering and architectural best practices, driving a consistent standard for quality and performance. Embraces evolution: Stays current with industry trends, strategically integrating new technologies like AI and cloud-native tools while ensuring stability in the core platform. Company overview: Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE. Our flagship products are Airtime Credit Services (ACS), Nano and BNPL. ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit. Nano is a micro cash advance offered to mobile wallet users on demand. BNPL facilitates payment installments for products and services As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing. Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure. But it doesn’t end there. We’re exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities.", "summaryDescription" : "Principal Architect at Ezra. Skills: Enterprise architecture, Platform engineering, Data architecture, AI integration. Co-define technical architecture. Champion technical standards", "postedDate" : "2026-06-13T21:58:44.704", "createdAt" : "2026-06-13T21:58:44.704", "lastUpdated" : "2026-06-15T07:57:08.772", "ingestTimestamp" : "2026-06-13T21:58:44.704", "mongoId" : "6a2ca5bb74d8ee00a09b7e78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Service-based design", "Event-driven systems", "Data modeling", "High availability", "Fault tolerance", "Secure coding", "Mentorship", "Leadership", "Enterprise architecture", "Platform engineering", "Data architecture", "AI integration", "System design", "Technical strategy", "Architectural oversight", "Roadmap planning", "Risk management", "Lending platforms", "Data platforms", "FinTech", "Digital lending", "Mobile wallets", "Cloud-native solutions", "AI-enabled systems", "Containerisation", "CI/CD pipelines", "Data integrity", "System resilience" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b3074d8ee00a0948bb2", "title" : "Principal Platform Engineer", "company" : "LTS", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Platform Engineer in the United States, adjusted for executive seniority and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-16T04:20:31.090", "fingerprint" : "5510972e1630e3e7ebd2dc7aecd43734d40d627954077eaa4d4aa468eb703971", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lts/jobs/4284753009", "externalId" : "4284753009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, VPC, PostgreSQL, Serverless compute, Object storage, CI/CD, Infrastructure as code, CDK, Terraform, SAML, OIDC, Federated identity, AI tooling, Agents, Models", "professionalSkills" : [ "System design", "Production experience", "Security design", "Compliance design", "Architectural portability", "Developer experience", "Regulatory translation" ], "hardSkillsList" : [ "Identity abstraction", "Tenant isolation", "Data residency", "Audit logging", "Encryption at rest", "Encryption in transit" ], "hardSkills" : [ { "name" : "Identity abstraction", "level" : "intermediate" }, { "name" : "Tenant isolation", "level" : "intermediate" }, { "name" : "Data residency", "level" : "intermediate" }, { "name" : "Audit logging", "level" : "intermediate" }, { "name" : "Encryption at rest", "level" : "intermediate" }, { "name" : "Encryption in transit", "level" : "intermediate" } ], "majorSkills" : "Platform engineering, AWS infrastructure, Identity management, AI tooling", "majorSkillsList" : [ "Platform engineering", "AWS infrastructure", "Identity management", "AI tooling" ], "coreResponsibilities" : "Own architectural shape of platform, Own security and compliance shape, Own architectural portability, Own internal developer experience, Be on call for systems, Translate regulatory pressure into infrastructure decisions, Partner with downstream deployment teams", "teamCollaboration" : "Senior engineering team; Downstream deployment teams", "domainKnowledge" : "Federal identity standards; Regulated environments; FedRAMP; HIPAA; SOC 2; ITAR; Control catalogs; Multi-tenant SaaS; Sovereign cloud; On-prem deployments; Air-gapped deployments", "domainList" : [ "federal-identity-standards", "regulated-environments", "fedramp", "hipaa", "soc-2", "itar", "control-catalogs", "multi-tenant-saas", "sovereign-cloud", "on-prem-deployments", "air-gapped-deployments" ], "domainSpecificKnowledge" : [ "Federal identity standards", "Regulated environments", "FedRAMP", "HIPAA", "SOC 2", "ITAR", "Control catalogs", "Multi-tenant SaaS", "Sovereign cloud", "On-prem deployments", "Air-gapped deployments" ], "toolProficiency" : [ "CDK", "Terraform" ], "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On call, Postmortem ownership", "qualificationsBasic" : "10 years of professional infrastructure or platform engineering equivalent experience, On call for production systems, Hands-on AWS infrastructure-as-code, Identity and access design, Worked under regulatory pressure, Designs for portability, Heavy native use of AI tooling, Observability discipline", "qualificationsPreferred" : "GovCloud, FedRAMP, or restricted-environment deployment experience, Multi-tenant SaaS architecture, Sovereign cloud, on-prem, or air-gapped deployments, Accreditation experience, HIPAA/HITECH operational experience, Open-source contributions", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LTS is seeking a Principal Platform Engineer to join a small, senior engineering team applying frontier AI to one of the most consequential legacy systems still running in production today. The mission: build agents that read, translate, and modernize a decades-old codebase that millions of people quietly depend on. The work has executive backing, real users, and a customer who knows exactly what they’re buying. Specifics shared once we’re talking. The team is small by design. Every seat carries unusual leverage, and we hire people who are already deep in this work. We use AI tooling natively — agents in parallel, model as collaborator, no exceptions. What You’ll Do: The Principal Platform Engineer owns the architectural shape of the platform on commercial AWS. Infrastructure decisions compound and are hard to undo, so this role calls for someone with real production experience: outages they caused, audits they sat through, identity bugs they debugged at 2am. Own the architectural shape of the platform — VPC, managed PostgreSQL, serverless compute, object storage, observability, CI/CD, defined as code. Own the security and compliance shape so federal identity standards (SSO, smart-card, federated identity) plug in cleanly when the platform moves into restricted environments: encryption at rest and in transit, audit logging, identity abstraction, tenant isolation, data residency primitives. Own architectural portability so deployment in regulated or restricted environments is straightforward when the time comes. Own internal developer experience — logs, traces, deploy speed, the local dev loop. Be on call for systems you designed; own the postmortem when things break. Translate regulatory pressure (FedRAMP, HIPAA, SOC 2, ITAR, or comparable control catalogs) into concrete infrastructure decisions. Partner with downstream deployment teams on the handoff into restricted environments. What We’re Looking For: Bachelor’s degree in Computer Science, Engineering, or a related field, plus 10 years of professional infrastructure or platform engineering experience; equivalent experience may substitute for the degree requirement. Has been on call for production systems they personally designed and can talk in detail about an outage they caused, an audit they sat through, or an identity bug they debugged past 4am. Ability to work in a fast-paced, collaborative environment. Decade-plus on production cloud platforms; years of experience matter for this role specifically. Hands-on AWS depth; strong infrastructure-as-code (CDK or Terraform). Identity and access design — SAML/OIDC, federated identity, identity abstraction patterns. Has worked under regulatory pressure (FedRAMP, HIPAA, SOC 2, ITAR, or similar) and can read a control catalog and translate it into infrastructure decisions, even without having driven a full accreditation. Designs for portability — environments other than the one personally operated in. Heavy native use of AI tooling: agents in parallel, model as collaborator. Strong observability discipline — logs, traces, deploy speed, the local dev loop. Demonstrated experience in a remote work environment. Nice to Have: GovCloud, FedRAMP, or restricted-environment deployment experience. Multi-tenant SaaS architecture. Sovereign cloud, on-prem, or air-gapped deployments. Accreditation experience — having driven or contributed to a federal authorization. HIPAA/HITECH operational experience. Open-source contributions in the platform, infrastructure-as-code, or identity space. What’s in it for you? The opportunity to support high visibility federal missions in IT and healthcare A culture that values innovation, growth, collaboration, and quality Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together! LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements. LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.", "summaryDescription" : "Principal Platform Engineer at LTS. Skills: Platform engineering, AWS infrastructure, Identity management, AI tooling. Own architectural shape of platform. Own security and compliance shape", "postedDate" : "2026-06-14T20:02:49.413", "createdAt" : "2026-06-14T20:02:49.413", "lastUpdated" : "2026-06-16T04:20:31.090", "ingestTimestamp" : "2026-06-14T20:02:49.413", "mongoId" : "6a2c7b3074d8ee00a0948bb2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Identity abstraction", "Tenant isolation", "Data residency", "Audit logging", "Encryption at rest", "Encryption in transit", "Platform engineering", "AWS infrastructure", "Identity management", "AI tooling", "System design", "Production experience", "Security design", "Compliance design", "Architectural portability", "Developer experience", "Regulatory translation", "Federal identity standards", "Regulated environments", "FedRAMP", "HIPAA", "SOC 2", "ITAR", "Control catalogs", "Multi-tenant SaaS", "Sovereign cloud", "On-prem deployments", "Air-gapped deployments", "CDK", "Terraform" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30550bf292fd229cf1d871", "title" : "Principal Cloud Architect", "company" : "Devoteam", "industry" : "Information Technology And Services", "salary" : { "min" : 1700000.0, "max" : 2500000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Principal Cloud Architect in Prague, Czech Republic, adjusted for the consulting industry and senior experience level." }, "location" : "Praha 1, Hlavní město Praha, CZ", "locations" : [ "Praha 1", "Hlavní město Praha", "CZ" ], "certifications" : [ "Google Professional Cloud Architect certification" ], "timestamp" : "2026-06-16T07:41:39.255", "fingerprint" : "c4c1c5bf944aa7f3bd2510f2f93486e1994031bffffddbed00126e8bd4635eb1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Devoteam/744000132166792-principal-cloud-architect", "externalId" : "744000132166792", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Praha", "state" : "Hlavní město Praha", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.1029026,14.3946353" } ], "locationText" : "Praha, Hlavní město Praha, Czech Republic", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Google Cloud, AWS, Azure, Docker, Kubernetes, GKE, Terraform", "professionalSkills" : [ "Cloud strategy", "Solution design", "Technical leadership", "Presales activities" ], "hardSkillsList" : [ "Infrastructure engineering", "Cloud consulting", "CI/CD pipelines", "Infrastructure automation", "Compute", "Storage", "Networking", "Identity management", "VPC design", "Hybrid connectivity", "Security controls" ], "hardSkills" : [ { "name" : "Infrastructure engineering", "level" : "intermediate" }, { "name" : "Cloud consulting", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Compute", "level" : "intermediate" }, { "name" : "Storage", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "VPC design", "level" : "intermediate" }, { "name" : "Hybrid connectivity", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" } ], "majorSkills" : "Cloud architecture, Google Cloud, DevOps practices, Container technologies", "majorSkillsList" : [ "Cloud architecture", "Google Cloud", "DevOps practices", "Container technologies" ], "coreResponsibilities" : "Design end-to-end Google Cloud migrations, Own end-to-end Google Cloud architectures, Guide team members, Mentor team members, Serve as SME, Contribute knowledge, Manage presentations, Direct communication with clients, Provide technical leadership, Create architecture documentation, Create solution designs, Ensure solutions meet security requirements, Ensure solutions meet compliance requirements, Ensure solutions meet availability requirements, Ensure solutions meet cost-optimization requirements", "teamCollaboration" : "Technical Lead for Cloud Architects; Technical Lead for Cloud Engineers; Bridging gap between customers; Bridging gap between delivery teams", "domainKnowledge" : "Cloud infrastructure; Cloud networking; Data warehouse migrations", "domainList" : [ "cloud-infrastructure", "cloud-networking", "data-warehouse-migrations" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Cloud networking", "Data warehouse migrations" ], "toolProficiency" : [ "Terraform" ], "communicationSkills" : "Present architecture solutions; Technical documentation", "documentationSkills" : "Architecture documentation; Solution designs", "continuousLearning" : "Career Management; Training; Certifications; Udemy for business account", "specialRequirements" : "Foreign business trips", "qualificationsBasic" : "5+ years of experience in cloud architecture, Experience designing solutions on Google Cloud, Experience leading enterprise workload migrations, Experience implementing DevOps practices, Understanding of cloud infrastructure, Experience with container technologies, Experience implementing Infrastructure-as-Code, Understanding of cloud networking, Excellent communication skills, Fluent English", "qualificationsPreferred" : "Google Professional Cloud Architect certification, Experience with multi-cloud architectures, Experience with hybrid architectures, Hands-on experience leading large data warehouse migrations, Hands-on experience leading infrastructure migrations", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Tech native for over 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value. With over 11,000 tech architects in more than 25 countries across Europe, the Middle East, and Africa, Devoteam is committed to using technology to serve people. Devoteam has been a ServiceNow Elite Partner since 2019. In 2026, it was recognised as ServiceNow Partner of the Year for the fourth consecutive year. At Devoteam, we deliver innovative technology consulting for leading organizations across Europe and beyond. As a Google Cloud Premier Partner, we support our clients in their digital transformation journeys by designing and implementing secure, scalable, and high-performance cloud solutions. We are expanding our Cloud & Data team and are looking for a Principal Cloud Architect to join us and lead the design of complex cloud architectures for enterprise clients across various industries. Your main duties and responsibilities: As a Principal cloud Architect you will act as a trusted technical advisor for our customers, shaping cloud strategies and translating business requirements into robust Google Cloud solutions. You will also serve as a Technical Lead for your fellow Cloud Architects and Cloud Engineers, providing hands-on expertise to team members and clients alike. Your responsibilities will include: * Design and own end-to-end Google Cloud migrations and architectures * Guide and mentor team members, serving as an SME and knowledge contributor to the wider global Google Cloud practice * Manage presentations and direct communication with clients, bridging the gap between customers and delivery teams * Provide technical leadership during presales activities, workshops, and client presentations. * Create detailed architecture documentation and solution designs. * Ensure solutions meet security, compliance, availability, and cost-optimization requirements. ## Qualifications Must be * Bachelor’s degree in Computer Science, Information Technology, or related field. * 5+ years of experience in cloud architecture, infrastructure engineering, or cloud consulting roles. * Strong experience designing solutions on Google Cloud, AWS, or Azure. * Experience leading enterprise workload migrations to public cloud environments. * Experience implementing DevOps practices including CI/CD pipelines and infrastructure automation. * Strong understanding of cloud infrastructure including compute, storage, networking, and identity management. * Experience with container technologies such as Docker and Kubernetes (GKE preferred). * Experience implementing Infrastructure-as-Code using Terraform or similar tools. * Strong understanding of cloud networking including VPC design, hybrid connectivity, and security controls. * Excellent communication skills and ability to present architecture solutions to technical and business stakeholders. * Fluent English. You will be a great fit for this role if you have… * Google Professional Cloud Architect certification, or equivalent * Experience with multi-cloud and hybrid architectures. * Hands-on experience leading large data warehouse and infrastructure migrations between on-prem and Cloud(s) ## Additional Information What will you get apart from the salary? * 5 weeks of vacation per year (= 1 week extra) * 4 My Days per year * Hybrid office * Flexible working hours * Career Management, training and certifications in the best breed of technologies - focused on technical skills (ServiceNow, Google), Project Management methodology etc., including Udemy for business account. * Meal allowance up to 28.000 CZK/year (123,90 CZK/day) * Cafeteria 1000 CZK/month (MultiSport Card available) * Phone tariff (unlimited calls, texts messages within the EU, 20GB of Internet) * Employee Referral Program * Sabbatical leave * Repurchase of hardware Moreover, we offer: * Foreign business trips * Above standard working equipment * Company Mobile Phone (selection from Android/iPhone) * Company Laptop (Windows/macOS) * Coffee, tea, snacks and breakfasts in the office * Company events and teambuildings * Gifts for work anniversaries, promotion or childbirth * Friendly and open culture And last but not least, you can rely on: * Transparent framework for career growth, reinforced by annual performance evaluations * Trust and autonomy, with no micro-management * Learning from senior colleagues and opportunities to collaborate with professionals from various industries * Opportunities to attend conferences to keep skills up-to-date * Working on a variety of projects for a broader range of experience * Adoption and utilization of evolving IT technologies", "summaryDescription" : "Principal Cloud Architect at Devoteam. Skills: Cloud architecture, Google Cloud, DevOps practices, Container technologies. Design end-to-end Google Cloud migrations. Own end-to-end Google Cloud architectures", "postedDate" : "2026-06-15T10:54:19.000", "createdAt" : "2026-06-15T23:38:37.056", "lastUpdated" : "2026-06-16T07:41:39.255", "ingestTimestamp" : "2026-06-15T23:38:37.056", "mongoId" : "6a30550bf292fd229cf1d871", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Infrastructure engineering", "Cloud consulting", "CI/CD pipelines", "Infrastructure automation", "Compute", "Storage", "Networking", "Identity management", "VPC design", "Hybrid connectivity", "Security controls", "Cloud architecture", "Google Cloud", "DevOps practices", "Container technologies", "Cloud strategy", "Solution design", "Technical leadership", "Presales activities", "Cloud infrastructure", "Cloud networking", "Data warehouse migrations", "Google Professional Cloud Architect certification", "Terraform" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305303f292fd229cf10b5a", "title" : "Principal Cloud Architect", "company" : "Devoteam", "industry" : "Information Technology And Services", "salary" : { "min" : 1750000.0, "max" : 2500000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Principal Cloud Architect in Prague, Czech Republic, adjusted for the consulting industry and senior experience level." }, "location" : "Praha 1, Hlavní město Praha, CZ", "locations" : [ "Praha 1", "Hlavní město Praha", "CZ" ], "certifications" : [ "Google Professional Cloud Architect certification" ], "timestamp" : "2026-06-16T06:46:48.801", "fingerprint" : "cca797123f13d7bdb2a39c1029c6bb675ccbb3b2fb4cde3b0ab939c69160a87d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Devoteam/744000132166792-principal-cloud-architect", "externalId" : "744000132166792", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Praha", "state" : "Hlavní město Praha", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.1029026,14.3946353" } ], "locationText" : "Praha, Hlavní město Praha, Czech Republic", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Google Cloud, AWS, Azure, Docker, Kubernetes, GKE, Terraform", "professionalSkills" : [ "Cloud strategy", "Solution design", "Technical leadership", "Presales activities" ], "hardSkillsList" : [ "Infrastructure engineering", "Cloud consulting", "CI/CD pipelines", "Infrastructure automation", "Compute", "Storage", "Networking", "Identity management", "VPC design", "Hybrid connectivity", "Security controls" ], "hardSkills" : [ { "name" : "Infrastructure engineering", "level" : "intermediate" }, { "name" : "Cloud consulting", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Compute", "level" : "intermediate" }, { "name" : "Storage", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "VPC design", "level" : "intermediate" }, { "name" : "Hybrid connectivity", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" } ], "majorSkills" : "Cloud architecture, Google Cloud, DevOps, Migrations", "majorSkillsList" : [ "Cloud architecture", "Google Cloud", "DevOps", "Migrations" ], "coreResponsibilities" : "Act as trusted technical advisor, Shape cloud strategies, Translate business requirements, Design Google Cloud solutions, Serve as Technical Lead, Provide hands-on expertise, Design end-to-end Google Cloud migrations, Own end-to-end Google Cloud architectures, Guide team members, Mentor team members, Serve as SME, Contribute knowledge, Manage presentations, Direct communication with clients, Bridge gap between customers and delivery teams, Provide technical leadership during presales, Provide technical leadership during workshops, Provide technical leadership during client presentations, Create detailed architecture documentation, Create solution designs, Ensure solutions meet security requirements, Ensure solutions meet compliance requirements, Ensure solutions meet availability requirements, Ensure solutions meet cost-optimization requirements", "teamCollaboration" : "Client communication; Delivery teams; Global practice", "domainKnowledge" : "Cloud infrastructure; Cloud networking; Enterprise workload migrations; Multi-cloud architectures; Hybrid architectures; Data warehouse migrations", "domainList" : [ "cloud-infrastructure", "cloud-networking", "enterprise-workload-migrations", "multi-cloud-architectures", "hybrid-architectures", "data-warehouse-migrations" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Cloud networking", "Enterprise workload migrations", "Multi-cloud architectures", "Hybrid architectures", "Data warehouse migrations" ], "toolProficiency" : [ "Terraform" ], "communicationSkills" : "Present architecture solutions; Technical documentation", "documentationSkills" : "Architecture documentation; Solution designs", "continuousLearning" : "Training; Certifications; Udemy for business", "specialRequirements" : "Foreign business trips", "qualificationsBasic" : "5+ years of experience in cloud architecture, Experience designing solutions on Google Cloud, Experience leading enterprise workload migrations, Experience implementing DevOps practices, Understanding of cloud infrastructure, Experience with container technologies, Experience implementing Infrastructure-as-Code, Understanding of cloud networking, Excellent communication skills, Fluent English", "qualificationsPreferred" : "Google Professional Cloud Architect certification, Experience with multi-cloud architectures, Experience with hybrid architectures, Hands-on experience leading large data warehouse migrations, Hands-on experience leading infrastructure migrations", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Tech native for over 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value. With over 11,000 tech architects in more than 25 countries across Europe, the Middle East, and Africa, Devoteam is committed to using technology to serve people. Devoteam has been a ServiceNow Elite Partner since 2019. In 2026, it was recognised as ServiceNow Partner of the Year for the fourth consecutive year. At Devoteam, we deliver innovative technology consulting for leading organizations across Europe and beyond. As a Google Cloud Premier Partner, we support our clients in their digital transformation journeys by designing and implementing secure, scalable, and high-performance cloud solutions. We are expanding our Cloud & Data team and are looking for a Principal Cloud Architect to join us and lead the design of complex cloud architectures for enterprise clients across various industries. Your main duties and responsibilities: As a Principal cloud Architect you will act as a trusted technical advisor for our customers, shaping cloud strategies and translating business requirements into robust Google Cloud solutions. You will also serve as a Technical Lead for your fellow Cloud Architects and Cloud Engineers, providing hands-on expertise to team members and clients alike. Your responsibilities will include: * Design and own end-to-end Google Cloud migrations and architectures * Guide and mentor team members, serving as an SME and knowledge contributor to the wider global Google Cloud practice * Manage presentations and direct communication with clients, bridging the gap between customers and delivery teams * Provide technical leadership during presales activities, workshops, and client presentations. * Create detailed architecture documentation and solution designs. * Ensure solutions meet security, compliance, availability, and cost-optimization requirements. ## Qualifications Must be * Bachelor’s degree in Computer Science, Information Technology, or related field. * 5+ years of experience in cloud architecture, infrastructure engineering, or cloud consulting roles. * Strong experience designing solutions on Google Cloud, AWS, or Azure. * Experience leading enterprise workload migrations to public cloud environments. * Experience implementing DevOps practices including CI/CD pipelines and infrastructure automation. * Strong understanding of cloud infrastructure including compute, storage, networking, and identity management. * Experience with container technologies such as Docker and Kubernetes (GKE preferred). * Experience implementing Infrastructure-as-Code using Terraform or similar tools. * Strong understanding of cloud networking including VPC design, hybrid connectivity, and security controls. * Excellent communication skills and ability to present architecture solutions to technical and business stakeholders. * Fluent English. You will be a great fit for this role if you have… * Google Professional Cloud Architect certification, or equivalent * Experience with multi-cloud and hybrid architectures. * Hands-on experience leading large data warehouse and infrastructure migrations between on-prem and Cloud(s) ## Additional Information What will you get apart from the salary? * 5 weeks of vacation per year (= 1 week extra) * 4 My Days per year * Hybrid office * Flexible working hours * Career Management, training and certifications in the best breed of technologies - focused on technical skills (ServiceNow, Google), Project Management methodology etc., including Udemy for business account. * Meal allowance up to 28.000 CZK/year (123,90 CZK/day) * Cafeteria 1000 CZK/month (MultiSport Card available) * Phone tariff (unlimited calls, texts messages within the EU, 20GB of Internet) * Employee Referral Program * Sabbatical leave * Repurchase of hardware Moreover, we offer: * Foreign business trips * Above standard working equipment * Company Mobile Phone (selection from Android/iPhone) * Company Laptop (Windows/macOS) * Coffee, tea, snacks and breakfasts in the office * Company events and teambuildings * Gifts for work anniversaries, promotion or childbirth * Friendly and open culture And last but not least, you can rely on: * Transparent framework for career growth, reinforced by annual performance evaluations * Trust and autonomy, with no micro-management * Learning from senior colleagues and opportunities to collaborate with professionals from various industries * Opportunities to attend conferences to keep skills up-to-date * Working on a variety of projects for a broader range of experience * Adoption and utilization of evolving IT technologies", "summaryDescription" : "Principal Cloud Architect at Devoteam. Skills: Cloud architecture, Google Cloud, DevOps, Migrations. Act as trusted technical advisor. Shape cloud strategies", "postedDate" : "2026-06-15T10:54:19.000", "createdAt" : "2026-06-15T21:43:08.023", "lastUpdated" : "2026-06-16T06:46:48.801", "ingestTimestamp" : "2026-06-15T21:43:08.023", "mongoId" : "6a305303f292fd229cf10b5a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Infrastructure engineering", "Cloud consulting", "CI/CD pipelines", "Infrastructure automation", "Compute", "Storage", "Networking", "Identity management", "VPC design", "Hybrid connectivity", "Security controls", "Cloud architecture", "Google Cloud", "DevOps", "Migrations", "Cloud strategy", "Solution design", "Technical leadership", "Presales activities", "Cloud infrastructure", "Cloud networking", "Enterprise workload migrations", "Multi-cloud architectures", "Hybrid architectures", "Data warehouse migrations", "Google Professional Cloud Architect certification", "Terraform" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad677", "title" : "Principal Platform Engineer", "company" : "Wizards of the Coast", "salary" : { "min" : 205100.0, "max" : 307600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T05:26:21.446", "fingerprint" : "63cc69975a28ae7c38a4d0bf465557f7cae38f9952d7d187b70069e02447e3fb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4272926009", "externalId" : "4272926009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons you'll be joining an organization where AI investment is already substantial. Structured teams are running production workloads, analytics and research organizations with deep Databricks and Snowflake investments, and yes, shadow deployments, rogue MCP servers, and bespoke integrations that teams built because there wasn't yet a useful official path. This demand and momentum, and the teams behind them, will be critical to partner with. This role needs someone who can walk into this environment and become the clear center of gravity, not through authority but through credibility, good defaults, and a platform that is genuinely easier to use than what teams have already built. The technical work matters, but excelling in this role will depend on your ability to bring people with you. YOU WILL: Partner across the organization to drive agreement on interface contracts, especially around MCP and A2A protocols, identity, and data access, so teams can build in parallel rather than waiting on each other. Earn adoption from research, engineering, and product teams already engaged with AI, by making your path obviously better, not by mandate. You'll meet teams where they are, respect what they've already shipped, and sequence migrations with emotional intelligence. Work with security, legal, and risk partners to translate AI safety from policy into running code that holds up in audit and in production. Drive consensus through written design docs, evaluation results, and decision records, not through status meetings or organizational pressure. Communicate at every altitude, from an on-call incident to a VP review — without losing precision or changing register. WHAT YOU'LL BRING: 10+ years in platform, infrastructure, or systems engineering with direct ownership of production systems used by other engineers. Hands-on experience building shared AI platforms, specifically with AWS Bedrock, AgentCore, and/or SageMaker, for multi-team use at scale. Deep familiarity with agent and tool protocols including MCP and A2A, including their authentication and security models. Working knowledge of enterprise identity and access control (Microsoft Entra ID, Okta) and how IAM patterns apply to AI systems and agent-to-agent communication. Experience integration with modern data platforms (Databricks, Snowflake, etc.) and building grounding and retrieval patterns using tool-use and function calling. Familiarity with enterprise AI administration platforms such as Claude for Enterprise and ChatGPT Enterprise, including governance, policy configuration, and cost management. Azure and/or Databricks experience is a meaningful plus, especially when in context of supporting analytics and research-heavy organizations. Pragmatic about AI safety; you treat guardrails as an engineering discipline rather than a compliance checkbox. A proven track record of driving cross-team technical adoption through credibility, clarity, and well-built defaults rather than relying on organizational authority Compensation and benefits may vary based on location and role. At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. #Wizards  The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $205,100—$307,600 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Principal Platform Engineer at Wizards of the Coast", "postedDate" : "2026-06-14T20:08:10.361", "createdAt" : "2026-06-14T20:08:10.361", "lastUpdated" : "2026-06-16T05:26:21.446", "ingestTimestamp" : "2026-06-14T20:08:10.361", "mongoId" : "6a2ca3ba74d8ee00a09ad677", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 205100, "salaryAnnualMax" : 307600, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c95e274d8ee00a098e1f9", "title" : "Data Architect", "company" : "Prolaio", "industry" : "Healthcare", "salary" : { "min" : 148000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States" ], "timestamp" : "2026-06-16T00:38:57.518", "fingerprint" : "413305dd9b7f858887556ceae0b21bea0cc6ab734c9a0472afc52773178a4092", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/prolaio/jobs/5251451008", "externalId" : "5251451008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, APIs, Event-driven architectures, Interoperability frameworks, HL7, FHIR, GCP, AWS, Azure, Snowflake, Databricks, BigQuery, Redshift, Synapse, Dbt, Airflow, Dagster, Spark, Kafka, Fivetran, Informatica, Talend", "professionalSkills" : [ "Data modeling", "Data standardization", "Data normalization", "System design" ], "hardSkillsList" : [ "Clinical data management", "Real-world data management", "Data architecture", "Platform architecture", "Data pipelines", "Data lifecycle management", "Data governance", "Data lineage", "Data provenance", "Data standardization", "Data normalization", "Metadata management", "API design", "Interoperability standards" ], "hardSkills" : [ { "name" : "Clinical data management", "level" : "intermediate" }, { "name" : "Real-world data management", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Platform architecture", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data lifecycle management", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data provenance", "level" : "intermediate" }, { "name" : "Data standardization", "level" : "intermediate" }, { "name" : "Data normalization", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "Interoperability standards", "level" : "intermediate" } ], "majorSkills" : "Data architecture, Healthcare data, Data platforms, Clinical intelligence", "majorSkillsList" : [ "Data architecture", "Healthcare data", "Data platforms", "Clinical intelligence" ], "coreResponsibilities" : "Define target-state data architecture, Define data architecture roadmap, Architect scalable data platforms, Architect secure data platforms, Architect interoperable data platforms, Support structured data, Support semi-structured data, Support unstructured data, Support clinical data sources, Support operational data sources, Support device data sources, Support patient-generated data sources, Lead architecture decisions for storage, Lead architecture decisions for compute, Lead architecture decisions for orchestration, Lead architecture decisions for metadata, Lead architecture decisions for APIs, Lead architecture decisions for integration patterns, Establish architecture standards, Establish reference patterns, Design conceptual data models, Design logical data models, Design physical data models, Model clinical trials data, Model cardiovascular data, Model physiological data, Model real-world data, Model claims data, Model medication data, Model socio-economic data, Model behavioral data, Model healthcare datasets, Apply healthcare terminologies, Apply ontologies, Apply common data models, Standardize data sources, Normalize data sources, Create analysis-ready datasets, Architect end-to-end data flows, Architect reusable pipelines, Manage data ingestion, Manage data validation, Manage data transformation, Manage data enrichment, Manage data publishing, Manage data retention, Manage data archival, Manage data decommissioning, Define data lifecycle management practices, Support data traceability, Support data reproducibility, Support data lineage, Support data provenance, Support data auditability, Design data architectures for AI, Design data architectures for analytics, Design data architectures for machine learning, Support feature generation, Support retrieval workflows, Support governed access, Support production deployment", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Data Science teams; Analytics teams; Clinical Operations teams; Quality teams; Security teams", "domainKnowledge" : "Healthcare data; Clinical data; Real-world data; Clinical trials data; Cardiology data; Wearable device data; Claims data; Socio-economic data; Behavioral data; HL7; FHIR; ICD; SNOMED CT; LOINC; RxNorm; OMOP; CDISC; Regulated environments; Validated environments; Cloud-native environments; Modern data platforms; Data lifecycle management; Data lineage; Data provenance; Data governance; AI enablement", "domainList" : [ "healthcare-data", "clinical-data", "real-world-data", "clinical-trials-data", "cardiology-data", "wearable-device-data", "claims-data", "socio-economic-data", "behavioral-data", "hl7", "fhir", "icd", "snomed-ct", "loinc", "rxnorm", "omop", "cdisc", "regulated-environments", "validated-environments", "cloud-native-environments", "modern-data-platforms", "data-lifecycle-management", "data-lineage", "data-provenance", "data-governance", "ai-enablement" ], "domainSpecificKnowledge" : [ "Healthcare data", "Clinical data", "Real-world data", "Clinical trials data", "Cardiology data", "Wearable device data", "Claims data", "Socio-economic data", "Behavioral data", "HL7", "FHIR", "ICD", "SNOMED CT", "LOINC", "RxNorm", "OMOP", "CDISC", "Regulated environments", "Validated environments", "Cloud-native environments", "Modern data platforms", "Data lifecycle management", "Data lineage", "Data provenance", "Data governance", "AI enablement" ], "toolProficiency" : [ "Snowflake", "Databricks", "BigQuery", "Redshift", "Synapse", "Dbt", "Airflow", "Dagster", "Spark", "Kafka", "Fivetran", "Informatica", "Talend" ], "outcomesObjectives" : "Transform data into platforms; Enable faster therapeutic discovery; Enable better cardiovascular outcomes", "qualificationsBasic" : "Bachelor's degree in computer science, 10 years of experience in healthcare, 5 years in clinical data, Architected healthcare data platforms, Experience with structured data, Experience with semi-structured data, Experience with unstructured data, Experience in regulated environments, Experience in validated environments, Experience with cardiology wearables data, Experience with claims data, Experience with socio-economic data, Experience with behavioral data, Experience with cross-functional teams, Partnering with Product teams, Partnering with Engineering teams, Partnering with Data Science teams, Partnering with Analytics teams, Partnering with Clinical Operations teams, Partnering with Quality teams, Partnering with Security teams, SQL skills, Python skills", "qualificationsPreferred" : "GCP familiarity, AWS familiarity, Azure familiarity, Snowflake familiarity, Databricks familiarity, BigQuery familiarity, Redshift familiarity, Synapse familiarity, Dbt experience, Airflow experience, Dagster experience, Spark experience, Kafka experience, Fivetran experience, Informatica experience, Talend experience, APIs familiarity, Event-driven architectures familiarity, Interoperability frameworks familiarity, HL7 familiarity, FHIR familiarity, Metadata tools familiarity, Lineage tools familiarity, Catalog tools familiarity, Governance tools familiarity, AI-enablement tools familiarity, Semantic indexing platforms familiarity, Vectorization platforms familiarity, Retrieval platforms familiarity, Data lifecycle automation platforms familiarity", "rawDescription" : "Who Are We? Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes. This is precision cardiology, and we know it’s within reach. What Will You Do? The Overview The Data Architect will shape the backbone of Prolaio’s healthcare data ecosystem, defining and scaling the architectures that power clinical intelligence products, real‑world data pipelines, analytics, data science, clinical operations, quality, and other enterprise use cases in a regulated environment. In this role, you turn complex clinical and operational data into interoperable, trustworthy, and scalable platforms that enable Prolaio to transform continuous, predictive, and shareable heart data into faster therapeutic discovery and better cardiovascular outcomes. This role is ideal for a self‑starter with deep healthcare data experience who wants to architect modern platforms across structured, semi‑structured, and unstructured data, embedding lifecycle management, standardization, lineage, provenance, compliance, and AI enablement into the foundation of Prolaio’s data ecosystem. The Specifics Define the target-state data architecture and roadmap for Prolaio’s regulated healthcare data platform in support of product, analytics, data science, data services, clinical operations, and quality use cases. Architect scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured data across clinical, operational, device, and patient-generated sources relevant to Prolaio’s cardiovascular and research mission. Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms. Establish architecture standards and reference patterns that support reliability, performance, extensibility, and validated operation in regulated settings. Design and govern conceptual, logical, and physical data models for clinical trials, cardiovascular and physiological data, real-world data, claims, medication, socio-economic, behavioral, and related healthcare datasets. Apply healthcare terminologies, ontologies, and common data models where appropriate, including standards such as HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, and CDISC. Lead efforts to standardize and normalize disparate data sources into governed, reusable, analysis-ready datasets suitable for regulated workflows, clinical research, and product development. Architect end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads. Define and implement data lifecycle management practices that support retention, access control, traceability, reproducibility, lineage, provenance, and auditability in regulated healthcare environments. Design data architectures that enable AI, analytics, and machine learning use cases by supporting feature generation, retrieval workflows, governed access, and production deployment needs. Why Prolaio? Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology. Innovative Environment: You will be part of an organization doing something that’s never been done before. Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow. Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology. Who You Are? Bachelor’s degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field. Minimum 10 years of experience in healthcare, life sciences, medtech, digital health, or other patient-data-focused environments, including at least 5 years in clinical data, real-world data, clinical trials data, or other patient-centered data platforms. Demonstrated experience architecting healthcare data platforms that support structured, semi-structured, and unstructured data in regulated or validated environments. Deep understanding of data from cardiology focused wearables devices, claims, socioeconomic, behavioral, and EHR. Deep understanding of healthcare data domains, data modeling, standardization, normalization, and the application of healthcare terminologies and common data models. Strong experience working in a cross-functional, matrixed organization and partnering effectively with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, and Security teams, with the ability to operate as a self-starter in a growth-stage environment. Strong familiarity with cloud platforms such as GCP, AWS, or Azure and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable environments. Experience with ETL or ELT, orchestration, and large-scale data processing tools such as dbt, Airflow, Dagster, Spark, Kafka, Fivetran, Informatica, Talend, or similar technologies. Strong SQL and Python skills, with familiarity in APIs, event-driven architectures, interoperability frameworks, and clinical data exchange patterns such as HL7 and FHIR Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation. Why You’ll Love Working Here Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build. Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions. Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more. Time to Recharge: Generous paid time off, sick leave, and company holidays. Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families. Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage. Plan for the Future: 401(k) plan to help you build long-term financial security. Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments. Starting Salary is at $148,000.00 (Exact Compensation may vary based on skills, experience, and location)", "summaryDescription" : "Data Architect at Prolaio. Skills: Data architecture, Healthcare data, Data platforms, Clinical intelligence. Define target-state data architecture. Define data architecture roadmap", "postedDate" : "2026-06-14T20:14:48.796", "createdAt" : "2026-06-14T20:14:48.796", "lastUpdated" : "2026-06-16T00:38:57.518", "ingestTimestamp" : "2026-06-14T20:14:48.796", "mongoId" : "6a2c95e274d8ee00a098e1f9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 148000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Clinical data management", "Real-world data management", "Data architecture", "Platform architecture", "Data pipelines", "Data lifecycle management", "Data governance", "Data lineage", "Data provenance", "Data standardization", "Data normalization", "Metadata management", "API design", "Interoperability standards", "Healthcare data", "Data platforms", "Clinical intelligence", "Data modeling", "System design", "Clinical data", "Real-world data", "Clinical trials data", "Cardiology data", "Wearable device data", "Claims data", "Socio-economic data", "Behavioral data", "HL7", "FHIR", "ICD", "SNOMED CT", "LOINC", "RxNorm", "OMOP", "CDISC", "Regulated environments", "Validated environments", "Cloud-native environments", "Modern data platforms", "AI enablement", "Snowflake", "Databricks", "BigQuery", "Redshift", "Synapse", "Dbt", "Airflow", "Dagster", "Spark", "Kafka", "Fivetran", "Informatica", "Talend" ], "skillCount" : 53, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae6ce70f0b99d589b27b5", "title" : "Integration Platform Operations Manager", "company" : "Hyundai Capital America", "industry" : "FinTech", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Integration Platform Operations Manager in Plano, United States, adjusted for manager seniority, financial services industry, and company size." }, "location" : "United States-Texas-Plano", "locations" : [ "United States-Texas-Plano", "
Dallas, TX (HCA_DallasTX)
6100 W. Plano Parkway, Suite 2000
Suite 2000
Plano, 75093

" ], "certifications" : [ "ITIL Foundation", "TIBCO certification", "Informatica certification", "Control-M certification", "Cloud certification" ], "timestamp" : "2026-06-15T09:09:25.817", "fingerprint" : "254d11d8f8874fa946cd3e117f5cd9e7ab7bcc7ce89bbb839dab6e77bee61e4f", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=108843", "externalId" : "108843", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Plano", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.0136764,-96.6925096" } ], "locationText" : "Plano, Texas, United States", "experienceLevel" : "Manager", "technicalSkills" : "TIBCO, Control-M, Informatica, API, Middleware, ETL, Dynatrace, Prometheus, Grafana, OAuth, MTLS, CI/CD, Docker, Kubernetes, OpenShift", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Lifecycle management", "Performance tuning", "Capacity planning", "Job scheduling", "Incident management", "RCA", "ITIL compliance", "Audit readiness", "Security readiness", "Release management", "Environment management", "Workload automation", "Dependency modeling", "SLA optimization", "Automated deployment" ], "hardSkillsList" : [ "TIBCO BusinessWorksWCE", "TIBCO EMS", "Mashery API Gateway", "Informatica PowerCenter", "IICS", "IDMC", "Control-M job scheduling", "RBAC", "Cert rotation", "Token rotation", "Vulnerability remediation", "Patching", "Platform hardening", "InfoSec controls", "Regulatory controls", "HA/DR planning", "Operational documentation", "Governance artifacts", "ETL job tuning", "Workflow troubleshooting", "Repository management", "Migration support", "Monitoring tools", "Logstash", "Kibana", "Splunk", "Microsoft Office", "PowerPoint" ], "softSkillsList" : [ "Leadership", "Judgment" ], "hardSkills" : [ { "name" : "TIBCO BusinessWorksWCE", "level" : "intermediate" }, { "name" : "TIBCO EMS", "level" : "intermediate" }, { "name" : "Mashery API Gateway", "level" : "intermediate" }, { "name" : "Informatica PowerCenter", "level" : "intermediate" }, { "name" : "IICS", "level" : "intermediate" }, { "name" : "IDMC", "level" : "intermediate" }, { "name" : "Control-M job scheduling", "level" : "intermediate" }, { "name" : "RBAC", "level" : "intermediate" }, { "name" : "Cert rotation", "level" : "intermediate" }, { "name" : "Token rotation", "level" : "intermediate" }, { "name" : "Vulnerability remediation", "level" : "intermediate" }, { "name" : "Patching", "level" : "intermediate" }, { "name" : "Platform hardening", "level" : "intermediate" }, { "name" : "InfoSec controls", "level" : "intermediate" }, { "name" : "Regulatory controls", "level" : "intermediate" }, { "name" : "HA/DR planning", "level" : "intermediate" }, { "name" : "Operational documentation", "level" : "intermediate" }, { "name" : "Governance artifacts", "level" : "intermediate" }, { "name" : "ETL job tuning", "level" : "intermediate" }, { "name" : "Workflow troubleshooting", "level" : "intermediate" }, { "name" : "Repository management", "level" : "intermediate" }, { "name" : "Migration support", "level" : "intermediate" }, { "name" : "Monitoring tools", "level" : "intermediate" }, { "name" : "Logstash", "level" : "intermediate" }, { "name" : "Kibana", "level" : "intermediate" }, { "name" : "Splunk", "level" : "intermediate" }, { "name" : "Microsoft Office", "level" : "intermediate" }, { "name" : "PowerPoint", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" } ], "majorSkills" : "Integration platforms, API operations, Middleware services, Data integration, Job scheduling", "majorSkillsList" : [ "Integration platforms", "API operations", "Middleware services", "Data integration", "Job scheduling" ], "coreResponsibilities" : "Govern integration platforms, Manage operational lifecycle, Adhere to SLAs, Tune performance, Plan capacity, Standardize integration frameworks, Oversee API operations, Oversee middleware operations, Oversee data integration operations, Manage TIBCO environments, Manage Informatica ETL pipelines, Manage Control-M job scheduling, Lead daily operational support, Drive incident management, Perform RCA, Ensure ITIL compliance, Plan for go-lives, Plan for deployments, Plan for hypercare, Drive monitoring practices, Drive observability practices, Drive SRE practices, Implement dashboards, Automate alerting, Automate runbooks, Reduce MTTR, Improve reliability, Improve platform health, Ensure platform security, Ensure platform compliance, Manage RBAC, Manage OAuth, Manage mTLS, Manage cert rotation, Manage token rotation, Remediate vulnerabilities, Perform patching, Harden platforms, Adhere to InfoSec controls, Adhere to regulatory controls, Provide release leadership, Provide environment leadership, Provide stakeholder leadership, Oversee CI/CD workflows, Oversee configuration management, Plan HA/DR, Coordinate vendors, Collaborate cross-team, Maintain operational documentation, Maintain reports, Maintain governance artifacts", "teamCollaboration" : "Cross-team collaboration; Vendor coordination", "projectManagementSkills" : [ "Change management", "Incident management", "Problem management", "Release management" ], "domainKnowledge" : "Enterprise integration patterns; API Gateway; Workload automation; Containerized deployments", "domainList" : [ "enterprise-integration-patterns", "api-gateway", "workload-automation", "containerized-deployments" ], "domainSpecificKnowledge" : [ "Enterprise integration patterns", "API Gateway", "Workload automation", "Containerized deployments" ], "toolProficiency" : [ "TIBCO", "Control-M", "Informatica", "Mashery", "Dynatrace", "Prometheus", "Grafana", "Jenkins", "Bitbucket", "Git", "Nexus", "Artifactory", "Microsoft Office" ], "communicationSkills" : "Verbal communication; Written communication; Presentation skills", "documentationSkills" : "Operational documentation", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "24x7 environment", "outcomesObjectives" : "Reduce MTTR; Improve reliability; Improve platform health", "qualificationsBasic" : "5-7 years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree, ITIL Foundation certification, Relevant platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Integration Platform Operations Manager is responsible for overseeing the day-to-day operational performance, reliability, and governance of the organization’s integration and middleware ecosystem. This role exists to ensure that all integration platforms, APIs, and middleware services operate efficiently, securely, and in alignment with business and technology objectives. This position provides leadership across operations, support, monitoring, change management, and continuous improvement for integration services that connect mission-critical applications and data flows. The Manager ensures high availability, standardized practices, and scalable processes that enable seamless system-to-system communication across the enterprise. What You Will Do 1. Own and govern integration platforms (TIBCO, Control-M, Informatica) including operational lifecycle management, SLA adherence, performance tuning, capacity planning, and standardization of integration frameworks and patterns. 2. Oversee API, middleware, and data integration operations, managing TIBCO BW/BWCE/Mashery environments, Informatica ETL pipelines, and Control-M job scheduling (dependencies, calendars, throughput, job failure management). 3. Lead daily operational support (L1/L2/L3) across ESB, ETL, and scheduling platforms—driving incident management, RCA, ITIL compliance (Change/Incident/Problem/Release), audit/security readiness, and planning for go-lives, deployments, and hypercare. 4. Drive monitoring, observability, and SRE practices by implementing Dynatrace/Prometheus/Grafana dashboards, automating alerting and runbooks, reducing MTTR, and improving reliability and platform health. 5. Ensure platform security and compliance, managing RBAC, OAuth/mTLS, cert/token rotation, vulnerability remediation, patching, platform hardening, and adherence to InfoSec and regulatory controls. 6. Provide release, environment, and stakeholder leadership, overseeing CI/CD workflows, configuration management, HA/DR planning, vendor coordination, cross-team collaboration, and maintaining operational documentation, reports, and governance artifacts. What You Will Bring · Minimum 5-7 years’ progressive experience supporting, operating, or administering enterprise integration platforms such as TIBCO BusinessWorks/BWCE, EMS, Mashery/API Gateway, or similar middleware. · Operational experience with Informatica PowerCenter, IICS/IDMC, or equivalent ETL platforms. · Background in ETL job tuning, workflow troubleshooting, repository management, and migration support. · Experience with monitoring tools like Dynatrace, Logstash, Kibana, Splunk, Prometheus/Grafana, or similar. · Experience in managing outsourced vendor for operations related tasks. · Automotive or financial services industries preferred. · Bachelor’s degree in C omputer Science, Information Systems, Engineering , or related technical field. · Master’s degree preferred. · ITIL Foundation certification preferred. · Relevant platform certifications (TIBCO, Informatica, Control-M, Cloud) are a plus. · Strong expertise with TIBCO BusinessWorks/BWCE, EMS, Mashery/API Gateway, and enterprise integration patterns. · Hands-on experience with Informatica PowerCenter and/or IICS/IDMC for ETL · Solid experience with Control-M job scheduling, workload automation, dependency modeling, and SLA optimization. · Exposure to Docker, Kubernetes, OpenShift, or containerized integration deployments. · Proven experience leading L1/L2/L3 operational and engineering teams in a 24×7 environment . · Proven skills in ITIL processes (Change, Incident, Problem, Release). · Proven track record of driving RCA, MTTR reduction, and operational excellence. · Familiarity with CI/CD tools such as Jenkins, Bitbucket, Git, Nexus, Artifactory, an d automated deployment pipelines to build and maintain Tibco deployments. · Proficient with Microsoft Office Suites, including PowerPoint. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments and managing outsourced vendor. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-Texas-Plano", "summaryDescription" : "Integration Platform Operations Manager at Hyundai Capital America. Skills: Integration platforms, API operations, Middleware services, Data integration, Job scheduling. Govern integration platforms. Manage operational lifecycle", "createdAt" : "2026-06-14T06:36:07.256", "lastUpdated" : "2026-06-15T09:09:25.817", "ingestTimestamp" : "2026-06-14T06:36:07.256", "mongoId" : "694ae6ce70f0b99d589b27b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "TIBCO BusinessWorksWCE", "TIBCO EMS", "Mashery API Gateway", "Informatica PowerCenter", "IICS", "IDMC", "Control-M job scheduling", "RBAC", "Cert rotation", "Token rotation", "Vulnerability remediation", "Patching", "Platform hardening", "InfoSec controls", "Regulatory controls", "HA/DR planning", "Operational documentation", "Governance artifacts", "ETL job tuning", "Workflow troubleshooting", "Repository management", "Migration support", "Monitoring tools", "Logstash", "Kibana", "Splunk", "Microsoft Office", "PowerPoint", "Leadership", "Judgment", "Integration platforms", "API operations", "Middleware services", "Data integration", "Job scheduling", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Lifecycle management", "Performance tuning", "Capacity planning", "Incident management", "RCA", "ITIL compliance", "Audit readiness", "Security readiness", "Release management", "Environment management", "Workload automation", "Dependency modeling", "SLA optimization", "Automated deployment", "Change management", "Problem management", "Enterprise integration patterns", "API Gateway", "Containerized deployments", "ITIL Foundation", "TIBCO certification", "Informatica certification", "Control-M certification", "Cloud certification", "TIBCO", "Control-M", "Informatica", "Mashery", "Dynatrace", "Prometheus", "Grafana", "Jenkins", "Bitbucket", "Git", "Nexus", "Artifactory" ], "skillCount" : 78, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca42774d8ee00a09b059a", "title" : "Data Architect", "company" : "Nortal", "location" : "Latin America - Remote", "locations" : [ "Latin America - Remote" ], "timestamp" : "2026-06-15T10:04:29.757", "fingerprint" : "772b9cb3e661c80fe94eb5520547b2ff0a6867a3b86b9e847a2bc3082b4d4742", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nortal/jobs/5141429007", "externalId" : "5141429007", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Spark, AWS, Azure, GCP, Snowflake, BigQuery, Redshift, Synapse, NoSQL, MongoDB, Redis, Cassandra, HBase, REST, SOAP, Python", "professionalSkills" : [ "Nortal shapes digital transformation for global enterprises and public sector organizations, focusing on AI-driven transformation and turning data into real business value." ], "hardSkillsList" : [ "Data modeling", "Data Lake", "Data Warehouse", "ELT", "ETL", "Relational databases", "cloud platforms", "Microservices data integration", "Data governance", "data security", "Modern data platforms", "NoSQL databases", "API integration" ], "softSkillsList" : [ "autonomy, open communication, respect for diversity, collaboration" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data Lake", "level" : "intermediate" }, { "name" : "Data Warehouse", "level" : "intermediate" }, { "name" : "ELT", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Relational databases", "level" : "intermediate" }, { "name" : "cloud platforms", "level" : "intermediate" }, { "name" : "Microservices data integration", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "data security", "level" : "intermediate" }, { "name" : "Modern data platforms", "level" : "intermediate" }, { "name" : "NoSQL databases", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "autonomy, open communication, respect for diversity, collaboration" } ], "majorSkills" : "Data Architecture, ETL/ELT", "majorSkillsList" : [ "Data Architecture, ETL/ELT" ], "coreResponsibilities" : "The Data Architect will design and evolve scalable data platforms and data-driven solutions, ensuring systems are reliable, governed, and aligned with business needs. This involves defining architecture standards, designing Data Lake/Warehouse/Lakehouse architectures, and architecting ETL/ELT pipelines for data ingestion and transformation. The role also includes designing data models, ensuring data governance and security, defining integration patterns, and collaborating with stakeholders to translate business needs into scalable data solutions across cloud platforms like AWS, Azure, or GCP.", "teamCollaboration" : "Join our close-knit LATAM remote team, connecting through fun activities like coffee breaks, tech talks, and games. We champion autonomy and open communication, fostering a collaborative environment where your well-being matters.", "toolProficiency" : [ "Oracle, SQL Server, PostgreSQL, DB2" ], "communicationSkills" : "English fluency", "continuousLearning" : "The company fosters growth through tech talks and opportunities to make an impact in an AI-driven transformation era, helping organizations turn data into real business value.", "innovationCreativity" : "We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. We are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value.", "specialRequirements" : "Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential.", "outcomesObjectives" : "The role aims to design and evolve scalable data platforms, support the delivery of data-driven solutions, ensure data systems are reliable, governed, and aligned with business needs, and translate business needs into scalable data solutions.", "qualificationsBasic" : "Requires a Bachelor's Degree in Computer Science, Engineering, or a related field. Must have 6+ years of experience with Data Architecture, SQL, and working with Data Lake/Data Warehouse. Also requires 4+ years of experience with ELT/ETL pipelines and Relational databases (Oracle, SQL Server, PostgreSQL, DB2).", "qualificationsPreferred" : "Preferred qualifications include 3+ years of experience with Spark or distributed processing, cloud platforms (AWS/Azure/GCP), Microservices data integration, and Data governance & data security practices. Additionally, 2+ years of experience with Modern data platforms (Snowflake, BigQuery, Redshift, Synapse), NoSQL databases (MongoDB, Redis, Cassandra, HBase), API integration (REST/SOAP), and Python for data processing is desired. Advanced English level is required.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Explore the Nortal experience! Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management. Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values. Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins. Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best. Ready to grow with us? \uD83D\uDE80 Here’s what we offer you by joining us! Competitive USD salary – We value your skills and contributions! 100% remote work – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM! Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger! National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture. Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better. Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance! Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family! About the project: At Nortal, we know great talent doesn’t wait for job openings. That’s why we’re building a community of passionate professionals for future opportunities. These proactive searches align with the profiles our trusted clients seek regularly. Join our \"Future Talent\" network to be among the first considered when the right opportunity arises. With over 160 new hires every year, we are constantly expanding our team with passionate and skilled professionals who want to make an impact. As a Data Architect, you will design and evolve scalable data platforms while supporting the delivery of data-driven solutions across business domains. This role combines strategic architecture ownership with hands-on solution design, ensuring data systems are reliable, governed, and aligned with business needs. How your day-to-day work will look like: Define and evolve data architecture standards and best practices. Design and implement Data Lake and Data Warehouse/Lakehouse architectures. Architect data pipelines (ETL/ELT) for ingestion, transformation, and consumption. Design data models aligned with analytics and business requirements.  Ensure data governance, quality, and security across platforms. Define integration patterns between microservices and data systems. Support delivery teams with architectural guidance and solution design. Collaborate with stakeholders to translate business needs into scalable data solutions. Contribute to cloud data architecture decisions across AWS, Azure, or GCP. This would make you the ideal candidate: Bachelor's Degree in Computer Science, Engineering, or a related field.  6+ Years of experience working with Data Architecture. 6+ Years of experience working with SQL. 4+ Years of experience working in Data modeling. 4+ Years of experience working with Data Lake / Data Warehouse. 4+ Years of experience working with ELT / ELT pipelines. 4+ Years of experience working with Relational databases (Oracle, SQL Server, PostgreSQL, DB2). 3+ Years of experience working with Spark or distributed processing. 3+ Years of experience working with cloud platforms (AWS / Azure / GCP). 3+ Years of experience working with Microservices data integration. 3+ Years of experience working with Data governance & data security practices. 2+ Years of experience working with Modern data platforms (Snowflake, BigQuery, Redshift, Synapse). 2+ Years of experience working with NoSQL databases (MongoDB, Redis, Cassandra, HBase). 2+ Years of experience working with API integration (REST / SOAP). 2+ Years of experience working with Python or similar for data processing. Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. What to expect from our Talent Connection process: Sign up: Apply to this position and upload your resume. Profile review: Our team will review your profile and keep it in our talent database. Contact: Our team will contact you to have an interview to get to know you better and to share with you a bit more of what we are looking for. Knowing you better: We'd love to discuss your experience in an interview with our recruiters. Notification: When a suitable position opens, we’ll contact you to start the selection process, having in mind that this process will be faster because we already had the first screening. Transparency: This process is direct and without intermediaries. \uD83C\uDFAF For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future. We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives. We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise. Let’s work together to shape the future of technology! \uD83E\uDDD1‍\uD83D\uDCBB Apply now! By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.", "summaryDescription" : "Data Architect at Nortal. Skills: Data Architecture, ETL/ELT. The Data Architect will design and evolve scalable data platforms and data-driven solutions, ensuring systems are reliable, governed, and aligned with business needs. This involves defining architecture standards, designing Data Lake/Warehouse/Lakehouse architectures, and architecting ETL/ELT pipelines for data ingestion and transformation. The role also includes designing data models, ensuring data governance and security, defining i", "postedDate" : "2026-06-14T18:36:25.700", "createdAt" : "2026-06-14T18:36:25.700", "lastUpdated" : "2026-06-15T10:04:29.757", "ingestTimestamp" : "2026-06-14T18:36:25.700", "mongoId" : "6a2ca42774d8ee00a09b059a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Data modeling", "Data Lake", "Data Warehouse", "ELT", "ETL", "Relational databases", "cloud platforms", "Microservices data integration", "Data governance", "data security", "Modern data platforms", "NoSQL databases", "API integration", "autonomy, open communication, respect for diversity, collaboration", "Data Architecture, ETL/ELT", "Nortal shapes digital transformation for global enterprises and public sector organizations, focusing on AI-driven transformation and turning data into real business value.", "Oracle, SQL Server, PostgreSQL, DB2" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1dd70f0b99d58d66f17", "title" : "Principal Solutions Architect", "company" : "Amazon Business", "industry" : "Solutions Architect, Solution Architect, amazon business", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on market data for Principal Solutions Architect roles in E-Commerce in India, adjusted for executive seniority and large company size." }, "location" : "IND", "locations" : [ "IND" ], "timestamp" : "2026-06-16T04:23:15.696", "fingerprint" : "1b1a37b4e822e7dc857ffac7297a2d594a69a973c07666013e9b74c8e4f6884e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102315/apply", "externalId" : "5d57d90d-b963-4588-9684-12b890a27fc6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "API, REST APIs, CXML, EDI, AWS", "professionalSkills" : [ "System design", "Technical strategy", "Strategic thinking", "Negotiation" ], "hardSkillsList" : [ "Enterprise-scale solutions", "Procurement technology", "Integration standards", "Technical governance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Enterprise-scale solutions", "level" : "intermediate" }, { "name" : "Procurement technology", "level" : "intermediate" }, { "name" : "Integration standards", "level" : "intermediate" }, { "name" : "Technical governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "B2B digital commerce, E-procurement, API platform, Enterprise integrations", "majorSkillsList" : [ "B2B digital commerce", "E-procurement", "API platform", "Enterprise integrations" ], "coreResponsibilities" : "Define technical strategy, Drive technical strategy, Design enterprise-grade integrations, Implement enterprise-grade integrations, Lead API platform evolution, Provide architectural leadership, Collaborate with system integrators, Validate complex architectures, Deliver technical solutions, Act as technical escalation point, Resolve architectural challenges, Shape App Center strategy, Drive innovation in marketplace, Enable custom-built applications, Establish technical governance, Enforce technical governance, Collaborate with engineering teams, Collaborate with product teams, Influence API roadmap, Prioritize features, Represent Amazon Business, Advocate for best practices, Advocate for standards, Drive thought leadership, Engineer integration patterns", "teamCollaboration" : "Cross-functional teams; Internal teams; Global system integrators; Amazonian teams", "domainKnowledge" : "B2B commerce; E-procurement; Enterprise procurement; Cloud-native architecture", "domainList" : [ "b2b-commerce", "e-procurement", "enterprise-procurement", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "B2B commerce", "E-procurement", "Enterprise procurement", "Cloud-native architecture" ], "communicationSkills" : "Executive presentations; Technical documentation", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree in computer science, Experience working within software development, Experience architecting complex technical integrations, Experience in API development, Experience working with global system integrators", "qualificationsPreferred" : "Knowledge of presentations, Whiteboarding skills, Hands-on experience with cloud platforms, Ability to work cross functionally, Demonstrated ability to drive adoption", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come be a part of a rapidly expanding $25 billion dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide. Amazon Business offers a unique opportunity to cater to an extensive and varied market segment. Our focus lies in creating solutions that empower businesses to easily find, research, and purchase products and services. Our selection is vast and accessible across multiple devices, marketplaces, and regions. Our clientele encompasses a broad spectrum, from individual professionals and small businesses to large institutions. Recognizing that our business customers have distinct needs compared to traditional Amazon customers, we are continuously evolving. This includes enhancing how we display our selection, pricing our products, and tailoring the customer experience to meet these unique requirements. Amazon Business is looking for aPrincipal Solutions Architect to lead our strategic advancement in the field of B2B digital commerce and e-procurement. This pivotal role demands a unique blend of deep technical expertise, high-level strategic thinking, and strong leadership skills. The successful candidate will drive innovative solutions at scale, leveraging state-of-the-art technologies and integration protocols to redefine e-commerce for enterprise-level clients. As a Principal Solutions Architect at Amazon Business, you will play a pivotal role in driving advanced technical integrations for our key customers and partners, while also fostering collaboration across the broader Amazon ecosystem. Your responsibilities involve leading integrations from technical discovery and scoping to implementation and post-production support. This role requires close coordination with internal teams, including Business Development, Professional Services, Sales, Product, and Engineering, to strategically manage new product integrations and launches. In addition to developing and executing operational process improvements and managing ongoing integrations, your role will extend to engaging with various Amazonian teams and initiatives. This pan-Amazonian involvement will be crucial in harnessing insights, expertise, and innovations from across the company to deliver comprehensive solutions that address the complex business challenges of Amazon Business’s largest customers and partners. As an influential leader and skilled negotiator, you will balance technical and functional requirements, designing and implementing sophisticated technical integration solutions. Your vision and leadership will not only set the standard for excellence in Amazon Business’s service offerings but also contribute to the broader strategic objectives of Amazon as a whole, ensuring alignment and synergy across different divisions and initiatives. Key job responsibilities • Define and drive the technical strategy for Amazon Business’s customer ecosystem, ensuring alignment with long-term goals and scalability across a global network. • Design and implement enterprise-grade procurement integrations for platforms such as Coupa, Ariba, SAP, Oracle, and others, ensuring technical excellence and reliability. • Lead the evolution of Amazon Business’s API platform, defining capabilities that enable advanced customer use cases and improve developer experiences. • Provide architectural leadership for large-scale, customer-driven enterprise procurement transformations, guiding design, implementation, and technical governance. • Collaborate with global system integrators and ISVs to validate complex customer architectures and deliver robust technical solutions. • Act as a technical escalation point for resolving architectural challenges, ensuring the scalability, security, and performance of customer integrations. • Shape the strategy for the Amazon Business App Center, driving innovation in the marketplace ecosystem and enabling custom-built applications. • Establish and enforce technical governance frameworks to standardize and optimize customer integration solutions. • Collaborate with internal engineering and product teams to influence Amazon Business’s API roadmap and prioritize features that drive customer success. • Represent Amazon Business in technical forums, panels, and industry events, advocating for best practices and standards in B2B commerce. • Drive thought leadership through technical publications, white papers, and collaboration with developer communities. • Engineer next-generation integration patterns, leveraging technologies like REST APIs, cXML, and EDI to build industry-leading solutions. Basic Qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience working within software development or Internet-related industries - - Enterprise-scale, technology-driven solutions in B2B commerce or procurement technology. - - Experience architecting complex technical integrations with platforms such as Coupa, Ariba, SAP, Oracle, or similar systems. - - Experience in API development, REST APIs, cXML, EDI, and other integration standards, with a focus on building scalable and secure architectures. - - Experience working with global system integrators and managing large-scale technical transformations. - - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline; Preferred Qualifications: - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Hands-on experience with cloud platforms, particularly AWS, and the ability to leverage AWS tools and services for advanced integration solutions. - Ability to work cross functionally to engage with engineering teams, product leaders, and C-level stakeholders, delivering technical strategies that drive innovation. - Demonstrated ability to drive adoption of best practices and shape technical standards across partner ecosystems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Principal Solutions Architect at Amazon Business. Skills: B2B digital commerce, E-procurement, API platform, Enterprise integrations. Define technical strategy. Drive technical strategy", "postedDate" : "2026-06-14T19:51:03.524", "createdAt" : "2026-06-14T19:51:03.524", "lastUpdated" : "2026-06-16T04:23:15.696", "ingestTimestamp" : "2026-06-14T19:51:03.524", "mongoId" : "68e6b1dd70f0b99d58d66f17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102315/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Enterprise-scale solutions", "Procurement technology", "Integration standards", "Technical governance", "Leadership", "B2B digital commerce", "E-procurement", "API platform", "Enterprise integrations", "System design", "Technical strategy", "Strategic thinking", "Negotiation", "B2B commerce", "Enterprise procurement", "Cloud-native architecture" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a764574d8ee00a065b7d3", "title" : "Principal Data Platform Engineer", "company" : "Doma Technology LLC", "salary" : { "min" : 275000.0, "max" : 425000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Platform Engineer in San Francisco, adjusted for executive seniority and the technology industry." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T20:28:24.490", "fingerprint" : "9e2c0efdf75076a41119851b0421c0c69d6bcb4c9e164b233cf7fa89f9ba674a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/doma/jobs/7991679", "externalId" : "7991679", "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "Azure, IaC, Git, Terraform, CI/CD, Python, Go, PostgreSQL, RDBMS, YAML, JSON, HCL, Metrics, Logging, Alerting, Data quality monitoring", "professionalSkills" : [ "Data architecture", "Data modeling", "Data governance", "Data cataloging", "Data lineage", "Access controls", "Encryption", "Cloud cost management" ], "hardSkillsList" : [ "CDC", "Streaming", "Schema design", "Transformation", "Warehouse modeling", "Mart modeling", "Database replication", "Automated failover", "DR", "Schema evolution", "PII classification", "Compute spend", "Storage spend" ], "softSkillsList" : [ "Ownership", "Bias to action", "Influence without authority", "Principled prioritization", "Mentorship", "Self-awareness" ], "hardSkills" : [ { "name" : "CDC", "level" : "intermediate" }, { "name" : "Streaming", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Transformation", "level" : "intermediate" }, { "name" : "Warehouse modeling", "level" : "intermediate" }, { "name" : "Mart modeling", "level" : "intermediate" }, { "name" : "Database replication", "level" : "intermediate" }, { "name" : "Automated failover", "level" : "intermediate" }, { "name" : "DR", "level" : "intermediate" }, { "name" : "Schema evolution", "level" : "intermediate" }, { "name" : "PII classification", "level" : "intermediate" }, { "name" : "Compute spend", "level" : "intermediate" }, { "name" : "Storage spend", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Bias to action" }, { "name" : "Influence without authority" }, { "name" : "Principled prioritization" }, { "name" : "Mentorship" }, { "name" : "Self-awareness" } ], "majorSkills" : "Data platform, Cloud migration, Data architecture, Data governance", "majorSkillsList" : [ "Data platform", "Cloud migration", "Data architecture", "Data governance" ], "coreResponsibilities" : "Design end-to-end data architecture, Implement end-to-end data architecture, Build resilient database topologies, Build resilient replication topologies, Automate database failover, Automate DR, Architect streaming pipelines, Model marts, Document marts, Catalog marts, Build monitoring, Build alerting, Build data quality observability, Own PII classification, Own data lineage, Own access controls, Own encryption, Mentor engineers, Set architectural standards, Treat compute spend as input, Treat storage spend as input", "teamCollaboration" : "Application engineering; Analytics; SRE; Security; Finance; Executive stakeholders", "projectManagementSkills" : [ "IaC", "Git-backed delivery" ], "domainKnowledge" : "Data warehousing; Data streaming; Data governance; Cloud providers; Distributed systems; Regulated data", "domainList" : [ "data-warehousing", "data-streaming", "data-governance", "cloud-providers", "distributed-systems", "regulated-data" ], "domainSpecificKnowledge" : [ "Data warehousing", "Data streaming", "Data governance", "Cloud providers", "Distributed systems", "Regulated data" ], "toolProficiency" : [ "Terraform", "dbt", "GitHub Actions", "GitLab CI", "ArgoCD", "Microsoft Purview", "DataHub", "Collibra" ], "communicationSkills" : "Written communication; Stakeholder communication; Executive communication", "documentationSkills" : "Designs; ADRs; Runbooks", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "8+ years data engineering, 8+ years platform engineering, 8+ years SRE, 8+ years DevOps, Staff or Principal IC level track record, Large-scale distributed data systems experience, Deep hands-on cloud experience, IaC and CI/CD experience, SQL and data modeling fundamentals, Production depth orchestration tool, Production depth streaming/ingestion stack, Cross-regional database replication design, Warehouse and mart modeling, Proficiency in Python, Go, or similar, Owning ambiguous, cross-team problems", "qualificationsPreferred" : "Kubernetes for data workloads, Table/lakehouse formats experience, Data-quality frameworks experience, Production observability experience, Schema registries and event contracts experience, Catalog and discovery tooling experience, GitOps tooling experience, FinOps practices experience, Practical data governance experience, Familiarity with MCPs, Background in fast-paced environments", "remoteFriendly" : false, "workSiteFlexibility" : "Remote", "rawDescription" : "If you’re good at what you do, you can work anywhere. If you’re the best at what you do, come work for Doma Technology. About Us  Doma Technology LLC offers solutions for lenders, real estate professionals, title agents, and homeowners that make closings vastly simpler and more efficient, reducing cost and increasing customer satisfaction. Our Values Obsessively Entrepreneurial - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way. People First - We communicate with honesty and respect to our customers, colleagues, and partners. Better Together - We believe diversity, equity and inclusion creates value through the differences in our backgrounds, experiences, and perspectives. Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices. Principal Data Platform Engineer About the Role We're looking for a Principal Data Platform Engineer to own the data platform as we migrate to a new cloud environment and modernize how data moves from applications through streams, into a governed warehouse, and out to marts that teams can actually use. This is a hands-on IC role reporting to the Senior Director of Platform Engineering. You'll be accountable for data being correct, governed, discoverable, and ready for consumption from source through curated marts. You'll partner closely with application engineering, analytics, SRE, security, finance, and executive stakeholders. The Stack We're on Azure and expanding across cloud providers. IaC and git-backed delivery are established. Orchestration, streaming/ingestion tooling, catalog, and table/storage formats are open decisions. You'll have real influence here. Bring depth in a modern stack and the judgment to choose well for our constraints. What You'll Do Design and implement end-to-end data architecture including application CDC, streaming, schema design, transformation, warehouse/mart modeling, and consumption-readiness with IaC and automation-first delivery. Build resilient multi-region database and replication topologies with automated failover and DR. Architect streaming pipelines with correctness, replayability, and schema evolution as first-class concerns. Model, document, and catalog marts for downstream self-service analytics and customer-facing consumption. Build monitoring, alerting, and data-quality observability across data platform services. Own PII classification, lineage, access controls, and encryption in partnership with Security. Mentor engineers and set architectural standards across data platform craft. Treat compute and storage spend as a design input. Required Qualifications 8+ years in data engineering, platform engineering, SRE, or DevOps, with a track record at Staff or Principal IC level. Proven experience building large-scale distributed data systems in production. Deep hands-on cloud experience (Azure preferred; AWS/GCP transferable) with IaC and CI/CD (Terraform or comparable). Strong SQL and data modeling fundamentals across streaming and relational/warehouse patterns. Production depth in at least one orchestration tool and one streaming/ingestion stack. Experience designing cross-regional database replication architectures, including failover and consistency trade-offs. Warehouse and mart modeling with a transformation/semantic layer (dbt or comparable). Proficiency in Python, Go, or similar for automation and tooling. Track record of owning ambiguous, cross-team problems end to end from approach through delivery. Preferred Qualifications Kubernetes for data workloads or equivalent container orchestration. Table/lakehouse formats (Iceberg, Delta, Hudi) and judgment on where they fit against a warehouse. Data-quality frameworks (Great Expectations, Soda) and production observability (Prometheus, Grafana, Datadog). Schema registries and event contracts (Avro, Protobuf, JSON Schema). Catalog and discovery tooling (Microsoft Purview, DataHub, Collibra, or similar). GitOps tooling (Flux, ArgoCD) and FinOps practices. Practical data governance: PII identification, lineage, encryption, and a sane access model for regulated data. Familiarity with MCPs (Model Context Protocol) and exposing data to AI systems safely. Background in fast-paced, high-growth environments with hard delivery deadlines. Technical Skills Cloud git-backed, automated delivery CI/CD: GitHub Actions, GitLab CI, ArgoCD, or similar Data Platform transformation/semantic layer (dbt or comparable); mart modeling Catalog and table/lakehouse formats (decisions in flight) PostgreSQL and operational RDBMS at scale; cross-region replication and DR patterns Governance SQL; YAML/JSON/HCL for IaC and pipelines Metrics, logging, tracing, alerting, and data-quality monitoring for pipelines and platform services What We Screen For Beyond the Technical Bar Written-first communication - designs, ADRs, and runbooks live in the repo. Ownership and bias to action - you drive ambiguous problems to working systems without waiting for the next step. Influence without authority - you build consensus and can hold the line on governance when it matters. Principled prioritization - you protect the critical path and can explain why you said no. Stakeholder and executive communication - you translate complex technical reality into clear risk, cost, and timeline. Mentorship - you level up the engineers around you through design reviews, pairing, and documentation. Self-awareness and collaboration - you know your edges and partner well across application, analytics, SRE, and security. #LI-Remote Shown below is the lowest to highest base salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the base salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Doma, compensation decisions are dependent on the facts and circumstances of each case. This job is also eligible for the following compensation components: Bonus & Equity The base salary range for this role is shown below: $170,000—$235,000 USD How we’ll value you and make your life a bit easier: We offer a comprehensive package of benefits to eligible employees (FTE, non-contract): medical/dental/vision insurance, 401(k), generous vacation time, and paid bonding leave. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. We believe the most valuable investment we can make is to build an outstanding team of colleagues and leaders who are passionate about our mission. We currently offer the following benefits to all Full-Time employees: Work/Life Balance - We encourage taking Paid Time Off (PTO)! 12 Weeks of Paid Family Bonding Leave (Maternity and Paternity) Incredible medical, dental, and vision benefits options to allow you to customize to you and your family’s needs that all start in the following month following your first day of employment Health Savings Account (HSA) 401K with company match program Short-Term & Long-Term Disability Supplemental Life and AD&D Insurance Critical Illness, Injury and Hospital Insurance  We believe in Equal Opportunity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.", "summaryDescription" : "Principal Data Platform Engineer at Doma Technology LLC. Skills: Data platform, Cloud migration, Data architecture, Data governance. Design end-to-end data architecture. Implement end-to-end data architecture", "postedDate" : "2026-06-11T21:37:34.570", "createdAt" : "2026-06-11T21:37:34.570", "lastUpdated" : "2026-06-14T20:28:24.490", "ingestTimestamp" : "2026-06-11T21:37:34.570", "mongoId" : "6a2a764574d8ee00a065b7d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 425000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "CDC", "Streaming", "Schema design", "Transformation", "Warehouse modeling", "Mart modeling", "Database replication", "Automated failover", "DR", "Schema evolution", "PII classification", "Compute spend", "Storage spend", "Ownership", "Bias to action", "Influence without authority", "Principled prioritization", "Mentorship", "Self-awareness", "Data platform", "Cloud migration", "Data architecture", "Data governance", "Data modeling", "Data cataloging", "Data lineage", "Access controls", "Encryption", "Cloud cost management", "IaC", "Git-backed delivery", "Data warehousing", "Data streaming", "Cloud providers", "Distributed systems", "Regulated data", "Terraform", "dbt", "GitHub Actions", "GitLab CI", "ArgoCD", "Microsoft Purview", "DataHub", "Collibra" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "technology-corporate-technology", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6c9474d8ee00a0919f52", "title" : "Data Architect", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 100500.0, "max" : 150975.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-15T10:46:29.484", "fingerprint" : "7515d144cac4b6909ac18f15c370fb40b79a588eaec038239490496205a788aa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4246623009", "externalId" : "4246623009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Fabric, Azure Data Factory, Lakehouse, OneLake, Power BI, SQL, Salesforce", "professionalSkills" : [ "Data modeling", "Enterprise data design", "Data architecture", "Systems thinking", "Solution design", "Data governance", "Metadata management", "Data strategy" ], "hardSkillsList" : [ "Data modeling", "Dimensional data models", "Semantic layers", "Data flows", "Data lineage", "Data definitions", "Data quality" ], "softSkillsList" : [ "Systems thinking", "Influencing decisions", "Driving alignment", "Pragmatic approach" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dimensional data models", "level" : "intermediate" }, { "name" : "Semantic layers", "level" : "intermediate" }, { "name" : "Data flows", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data definitions", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Systems thinking" }, { "name" : "Influencing decisions" }, { "name" : "Driving alignment" }, { "name" : "Pragmatic approach" } ], "majorSkills" : "Data architecture, Microsoft Fabric, Data modeling", "majorSkillsList" : [ "Data architecture", "Microsoft Fabric", "Data modeling" ], "coreResponsibilities" : "Define enterprise data architecture standards, Design Microsoft Fabric solutions, Establish data modeling standards, Define environment strategies, Review data solution designs, Establish reusable patterns, Evaluate tradeoffs, Enable consistent use of datasets, Design data flows, Document data lineage, Document data ownership, Define canonical data models, Align data definitions, Establish architectural guardrails", "teamCollaboration" : "Business stakeholders; Technical stakeholders; Data Platform Engineering; IT leadership", "domainKnowledge" : "Lymphedema treatment; Chronic venous insufficiency; Respiratory illnesses; Medical device industry; Regulated environments", "domainList" : [ "lymphedema-treatment", "chronic-venous-insufficiency", "respiratory-illnesses", "medical-device-industry", "regulated-environments" ], "domainSpecificKnowledge" : [ "Lymphedema treatment", "Chronic venous insufficiency", "Respiratory illnesses", "Medical device industry", "Regulated environments" ], "toolProficiency" : [ "Microsoft Fabric", "Power BI", "Salesforce", "NetSuite", "Brightree" ], "communicationSkills" : "Translate data needs; Communicate architectural concepts; Educate team members", "documentationSkills" : "Document data flows; Document data lineage; Document data ownership", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years experience, Experience with Microsoft Fabric, Experience building dimensional data models", "qualificationsPreferred" : "Experience with Salesforce data, Familiarity with NetSuite, Familiarity with Brightree, Experience in healthcare, Experience in regulated environments, Background in mid-sized organizations, Consulting environments experience", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Overview At Tactile Medical, we are evolving our data capabilities from report-driven analytics to a scalable, enterprise data platform built on Microsoft Fabric. The Data Architect will play a critical role in designing and governing the end-to-end data ecosystem, ensuring consistency, scalability, and long-term sustainability. This role is responsible for establishing enterprise data architecture standards, connecting disparate systems, and enabling a unified data foundation that supports reporting, self-service analytics, and future AI/ML capabilities. As a highly visible, strategic partner to IT leadership, the Data Architect will balance hands-on technical work with architectural governance and cross-functional collaboration while helping to mature data practices across the organization. Accountabilities & Responsibilities: Data Architecture & Platform Design Define and maintain enterprise data architecture standards, frameworks, and reference models Design end-to-end Microsoft Fabric solutions, including Lakehouse, Warehouse, semantic models, and reporting layers Establish scalable data modeling standards, including dimensional (star schema) and semantic modeling practices Define environment and workspace strategies (dev, test, prod) to support reliable and repeatable delivery Solution Governance & Enablement Review and guide data solution designs to ensure alignment with enterprise architecture standards Partner with Data Platform Engineering to establish reusable patterns, pipelines, and platform capabilities Evaluate tradeoffs between speed, scalability, and long-term maintainability, providing clear recommendations Enable consistent use of shared datasets, metrics, and semantic models across the organization Cross-System Data Strategy Design and document data flows, lineage, and ownership across systems and platforms Define canonical data models to ensure consistency across core systems such as Salesforce, NetSuite, and Brightree Align data definitions across the organization to reduce duplication and improve data quality Establish architectural guardrails that support governance, metadata management, and appropriate data access Stakeholder Collaboration & Leadership Partner with business and technical stakeholders to translate data needs into scalable architectural solutions Communicate complex architectural concepts and tradeoffs to both technical and non-technical audiences Mentor and educate team members on data architecture standards, best practices, and emerging capabilities Serve as a strategic partner to IT leadership, helping shape the organization’s long-term data strategy Other: Participate in key architecture and data strategy discussions across the organization Contribute to continuous improvement of data platform capabilities and processes Perform additional duties as assigned Qualifications Required: Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related field (or equivalent work experience) 5+ years of experience in data architecture, data modeling, or enterprise data design Experience designing and implementing data solutions using Microsoft Fabric or related technologies (e.g., Azure Data Factory, Lakehouse, OneLake, Power BI) Strong experience building dimensional data models (e.g., star schema) and semantic layers Experience translating technical data structures into business-friendly data models and insights Preferred: Experience working with Salesforce data models and integrating Salesforce data into enterprise platforms Familiarity with NetSuite and/or Brightree data structures Experience in healthcare, medical device, or other regulated environments Background in mid-sized organizations or consulting environments with hands-on responsibilities Knowledge & Skills Strong systems thinking with the ability to design end-to-end data architectures across multiple platforms Ability to define and maintain canonical data models across disparate systems Proven ability to balance short-term delivery needs with long-term scalability and sustainability Comfortable influencing decisions and driving alignment without formal authority Strong communication skills with the ability to translate complex technical concepts into clear business language Hands-on technical capability with a willingness to contribute to development when needed Experience working in evolving environments where processes and standards are being established Collaborative, adaptable, and pragmatic approach to problem-solving High level of ownership with a focus on building scalable, reusable solutions Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $100,500—$150,975 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Data Architect at Tactile Medical. Skills: Data architecture, Microsoft Fabric, Data modeling. Define enterprise data architecture standards. Design Microsoft Fabric solutions", "postedDate" : "2026-06-14T08:45:11.357", "createdAt" : "2026-06-14T08:45:11.357", "lastUpdated" : "2026-06-15T10:46:29.484", "ingestTimestamp" : "2026-06-14T08:45:11.357", "mongoId" : "6a2c6c9474d8ee00a0919f52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100500, "salaryAnnualMax" : 150975, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dimensional data models", "Semantic layers", "Data flows", "Data lineage", "Data definitions", "Data quality", "Systems thinking", "Influencing decisions", "Driving alignment", "Pragmatic approach", "Data architecture", "Microsoft Fabric", "Enterprise data design", "Solution design", "Data governance", "Metadata management", "Data strategy", "Lymphedema treatment", "Chronic venous insufficiency", "Respiratory illnesses", "Medical device industry", "Regulated environments", "Power BI", "Salesforce", "NetSuite", "Brightree" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306091f292fd229cf909c6", "title" : "Principal AI Platform Engineer", "company" : "Hi Marley", "industry" : "SaaS", "salary" : { "min" : 152000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:58:36.382", "fingerprint" : "3c56e008252859949a6988c967d08eb287fbeb99e8d53d1540e040fdf3786cea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.himarley.com/careers?gh_jid=7773706003", "externalId" : "7773706003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Insurance touches people during some of the most challenging moments in their lives. Hi Marley is on a mission to transform how the P they build the gatekeeper. Evangelize the platform internally: Lunch-and-learns, internal docs, demo droplets, and \"office hours\" so other teams know what's available and how to use it. Communication and product instinct are as load-bearing as the AWS depth. Use AI in your daily flow: Cursor, Claude Code, agentic coding tools — your default question is \"could an agent do this?\" before you write the code yourself. What We're Looking For: A genuine curiosity about AI and emerging technologies, paired with the judgment to apply them thoughtfully and responsibly. Deep AWS expertise: You can architect a multi-tenant platform on AWS without needing to outsource the hard parts. Bedrock, Cognito, IAM, EventBridge, Lambda, DynamoDB or Postgres, plus IaC (CDK or Terraform). Bonus: AgentCore, SageMaker, Workshop Studio. Identity & authorization fluency: You've built systems where authorization is the architecture, not bolted on. OAuth 2.1, scoped tokens, role inheritance, least-privilege design — these are second-nature to you. Strong product instincts, not just infra: You think about the developer experience of the people consuming your platform. You can design an SDK or a registry schema that other teams actually want to use. AI-forward: You've shipped real LLM-backed systems in production — not just prototypes — and have opinions about token cost, latency, evaluation, observability, and where determinism matters vs. where it doesn' t. MCP / agentic systems literacy: Familiarity with Model Context Protocol or comparable agent-tool patterns. You don't have to have shipped an MCP server, but you should be able to talk credibly about why MCP exists and what its security boundaries are. Excellent communicator: You can present platform work to engineers, executives, and customers, and write docs people actually read. This role only succeeds if the rest of the company knows what's available. Architectural integrity over framework hype: You'd rather build the right primitive on AWS than reach for a \"magical\" higher-level abstraction. You can write Python, TypeScript, or Go fluently — the language matters less than the systems thinking. Compensation, Benefits & Perks: At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$152,000–$283,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It’s most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role. In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including: Equity grants for all employees A 4% matching 401(k) program Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week Monthly wellness stipend Paid parental leave A flexible vacation policy - we all work hard and take time when we need it Who We Are: At Hi Marley, our culture is built on three core values that every employee embodies: Max Courage – We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk. Be Humble – We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere. Ubuntu (“I am because we are”) – We believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose, we can achieve our fullest potential — together. Life at Hi Marley: Life at Hi Marley is shaped by collaboration, learning, and genuine connection. We’re proud to foster an environment where people can do their best work, feel supported, and grow alongside a team that celebrates both individuality and shared purpose. A fun, lively startup culture that embraces creativity and innovation Core values-based leadership that guides our decision-making and daily interactions A culture of engagement, diversity, inclusion, and belonging — everyone’s voice matters Flexible, hybrid work environment that values balance and trust Ample opportunities to learn, take on new challenges, and make an impact in a fast-growing organization Meaningful work that directly supports our mission to help people and organizations communicate with empathy and clarity Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves. Hi Marley participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. For more information, please review the documents under \"E-Verify Poster\" here: https://e-verify.uscis.gov/web/OnlineResources.aspx", "summaryDescription" : "Principal AI Platform Engineer at Hi Marley", "postedDate" : "2026-06-15T23:29:34.713", "createdAt" : "2026-06-15T23:29:34.713", "lastUpdated" : "2026-06-16T08:58:36.382", "ingestTimestamp" : "2026-06-15T23:29:34.713", "mongoId" : "6a306091f292fd229cf909c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 152000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b5774d8ee00a09493e6", "title" : "Data Architect", "company" : "Exadel", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Architect in Bulgaria, adjusted for the e-commerce industry and company size." }, "location" : "Bulgaria", "locations" : [ "Bulgaria", "Georgia", "Poland", "Romania", "Uzbekistan" ], "timestamp" : "2026-06-16T05:50:57.279", "fingerprint" : "e1c0158f4e44f321437b69ba8cfba1a98a9600468cb3baddd3d7ffefb5f9dce8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/externaljobboards/jobs/6019481004", "externalId" : "6019481004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Bulgaria", "rawDescription" : "Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The client is a global e-commerce and marketplace platform operating across North America and multiple international regions. The company manages a complex ecosystem of merchant transactions, payments, promotions, and financial operations, supporting millions of customers and partners worldwide. Over time, the client’s financial data landscape evolved into regionally fragmented platforms, with separate data models, pipelines, and reporting logic for different geographies. This created challenges in data consistency, reconciliation, auditability, and operational efficiency, particularly for critical processes such as revenue recognition, tax compliance (e.g., VAT), and month-end close. The client is looking for a Data Architect who will be responsible for designing and governing a global financial data platform that enables a Single Source of Truth (SSOT) on BigQuery, standardizing data models, pipelines, and governance across North America and International regions. What You’ll Do Define the target-state data architecture for a unified BigQuery-based platform, including ingestion, transformation, storage, and consumption layers Establish data modeling standards, transformation patterns, and architectural principles aligned with finance and reporting requirements Lead the design and execution of data migrations from Teradata and Hive/HDFS to BigQuery, ensuring data accuracy, completeness, and performance Define incremental-load, micro-batch, and reconciliation patterns to support daily financial processing and month-end close requirements Establish data governance framework (lineage, metadata, RBAC, auditability) Implement data quality strong Python experience for data engineering workflows Orchestration: Airflow / Composer Reporting: Tableau Proven ability to define scalable data models, layered architectures, and reusable transformation patterns Deep understanding of financial data processing, reconciliation, and reporting patterns English level Intermediate+ Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.", "summaryDescription" : "Data Architect at Exadel", "postedDate" : "2026-06-14T18:40:54.300", "createdAt" : "2026-06-14T18:40:54.300", "lastUpdated" : "2026-06-16T05:50:57.279", "ingestTimestamp" : "2026-06-14T18:40:54.300", "mongoId" : "6a2c7b5774d8ee00a09493e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3e674d8ee00a09ae7e3", "title" : "Senior Architect, Integration & Production", "company" : "Veev", "industry" : "Manufacturing", "salary" : { "min" : 160000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Integration & Production Architect in Hayward, United States, adjusted for company size and industry." }, "location" : "Hayward, CA", "locations" : [ "Hayward", "CA" ], "timestamp" : "2026-06-15T07:19:39.522", "fingerprint" : "5d2af41e8e2f8cb4d3a6044069661acfc73ecbba0ee3c609a1cb34b7fd90845f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://veev.breezy.hr/p/c375b9388c6c-senior-architect-integration-production", "externalId" : "c375b9388c6c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hayward", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6688205,-122.0807960" } ], "locationText" : "Hayward, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "About Veev Veev is leading the transformation of the construction industry with an innovative approach to modular home construction. Veev’s prefabricated closed-panel systems allow homes to be assembled efficiently on-site while delivering a more sustainable and higher-quality final product than tr", "summaryDescription" : "Senior Architect, Integration & Production at Veev", "createdAt" : "2026-06-13T23:43:24.997", "lastUpdated" : "2026-06-15T07:19:39.522", "ingestTimestamp" : "2026-06-13T23:43:24.997", "mongoId" : "6a2ca3e674d8ee00a09ae7e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a6ae174d8ee00a063d732", "title" : "ServiceNow Architect", "company" : "ARHS", "industry" : "Information Technology And Services", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead ServiceNow Architect in Warsaw, Poland, adjusted for the technology industry and full-time onsite employment." }, "location" : "Warsaw, Masovian Voivodeship, Poland", "locations" : [ "Warsaw", "Masovian Voivodeship", "Poland" ], "certifications" : [ "ServiceNow Certified System Administrator (CSA)" ], "timestamp" : "2026-06-14T19:49:50.091", "fingerprint" : "a125e1b4bdb5e2dd8d452036c92093956349244327204c5155d26afb47c48f02", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000131485150-servicenow-architect", "externalId" : "744000131485150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "ServiceNow, REST APIs, Web Services, SSO, LDAP", "professionalSkills" : [ "Business Analysis", "Platform Governance", "Service Management" ], "hardSkillsList" : [ "ServiceNow architecture", "ServiceNow design", "System integrations", "Interoperability", "Architecture models", "Roadmaps", "Platform performance", "Platform security", "Business requirements", "Technical solutions", "Architecture design", "ServiceNow implementations", "ServiceNow improvements", "Service management capabilities", "Risk planning", "Security planning", "Continuity planning", "Technical documentation", "SOPs", "Knowledge base articles", "System metrics", "IT security standards" ], "softSkillsList" : [ "Analytical mindset", "Problem-solving mindset", "Attention to detail", "Ownership", "Structured approach", "Organised approach" ], "hardSkills" : [ { "name" : "ServiceNow architecture", "level" : "intermediate" }, { "name" : "ServiceNow design", "level" : "intermediate" }, { "name" : "System integrations", "level" : "intermediate" }, { "name" : "Interoperability", "level" : "intermediate" }, { "name" : "Architecture models", "level" : "intermediate" }, { "name" : "Roadmaps", "level" : "intermediate" }, { "name" : "Platform performance", "level" : "intermediate" }, { "name" : "Platform security", "level" : "intermediate" }, { "name" : "Business requirements", "level" : "intermediate" }, { "name" : "Technical solutions", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "ServiceNow implementations", "level" : "intermediate" }, { "name" : "ServiceNow improvements", "level" : "intermediate" }, { "name" : "Service management capabilities", "level" : "intermediate" }, { "name" : "Risk planning", "level" : "intermediate" }, { "name" : "Security planning", "level" : "intermediate" }, { "name" : "Continuity planning", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "SOPs", "level" : "intermediate" }, { "name" : "Knowledge base articles", "level" : "intermediate" }, { "name" : "System metrics", "level" : "intermediate" }, { "name" : "IT security standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical mindset" }, { "name" : "Problem-solving mindset" }, { "name" : "Attention to detail" }, { "name" : "Ownership" }, { "name" : "Structured approach" }, { "name" : "Organised approach" } ], "majorSkills" : "ServiceNow Architecture, Platform Design, System Integrations", "majorSkillsList" : [ "ServiceNow Architecture", "Platform Design", "System Integrations" ], "coreResponsibilities" : "Define ServiceNow platform architecture, Maintain ServiceNow platform architecture, Set standards for design, Set standards for development, Set standards for quality, Set standards for testing, Design integrations, Design interoperability with external systems, Translate business needs into architecture models, Translate business needs into roadmaps, Evaluate technologies, Select technologies, Optimise platform performance, Optimise platform security, Optimise platform quality, Gather business requirements, Assess business requirements, Gather user requirements, Assess user requirements, Translate requirements into technical solutions, Ensure alignment between business needs and architecture design, Present solutions to stakeholders, Supervise ServiceNow implementations, Supervise ServiceNow improvements, Support development teams in solution design, Support architects in solution design, Ensure consistency in service management capabilities, Recommend improvements to architecture, Recommend improvements to processes, Support risk planning, Support security planning, Support continuity planning, Maintain technical documentation, Maintain SOPs, Maintain knowledge base articles, Analyse system metrics, Drive improvements", "teamCollaboration" : "Technical stakeholders; Non-technical stakeholders; Development teams; Architects", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "ServiceNow platform; Service management concepts; IT security standards", "domainList" : [ "servicenow-platform", "service-management-concepts", "it-security-standards" ], "domainSpecificKnowledge" : [ "ServiceNow platform", "Service management concepts", "IT security standards" ], "toolProficiency" : [ "ServiceNow", "Sparx Enterprise Architect", "ARIS" ], "communicationSkills" : "Present solutions", "documentationSkills" : "Technical documentation; SOPs; Knowledge base articles; Solution design", "problemSolvingSkills" : "Problem-solving mindset", "qualificationsBasic" : "hands-on experience with ServiceNow platform architecture and design, Solid understanding of ServiceNow products, Solid understanding of service management concepts, Experience with ServiceNow administration, Experience with ServiceNow maintenance, REST APIs, Web Services, Single Sign-On (SSO), LDAP, Complex system integrations, Complex system interoperability, Enterprise architecture tools, Technical documentation, Solution design, Good understanding of IT security standards, ServiceNow Certified System Administrator (CSA) or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. * ServiceNow Architecture & Design * Define and maintain ServiceNow platform architecture * Set standards for design, development, quality, and testing * Design integrations and interoperability with external systems * Translate business needs into architecture models and roadmaps * Evaluate and select appropriate technologies * Optimise platform performance, security, and quality * Business Analysis * Gather and assess business and user requirements * Translate requirements into technical solutions * Ensure alignment between business needs and architecture design * Present solutions to technical and non-technical stakeholders * Platform Governance & Delivery * Supervise ServiceNow implementations and improvements * Support development teams and architects in solution design * Ensure consistency in service management capabilities * Continuous Improvement & Documentation * Recommend improvements to architecture and processes * Support risk, security, and continuity planning * Maintain technical documentation, SOPs, and knowledge base articles * Analyse system metrics and drive improvements ## Qualifications * Strong hands-on experience with ServiceNow platform architecture and design * Solid understanding of ServiceNow products and service management concepts * Experience with ServiceNow administration and maintenance * Integration & architecture: * REST APIs, Web Services * Single Sign-On (SSO), LDAP * Complex system integrations and interoperability * Modelling & documentation: * Enterprise architecture tools (e.g. Sparx Enterprise Architect, ARIS) * Technical documentation and solution design * Good understanding of IT security standards Certifications * ServiceNow Certified System Administrator (CSA) or equivalent (required) Key Competencies * Strong analytical and problem-solving mindset * High attention to detail and ownership * Ability to work independently in complex environments * Strong communication and stakeholder management * Structured, organised, and proactive approach", "summaryDescription" : "ServiceNow Architect at ARHS. Skills: ServiceNow Architecture, Platform Design, System Integrations. Define ServiceNow platform architecture. Maintain ServiceNow platform architecture", "postedDate" : "2026-06-10T15:27:27.000", "createdAt" : "2026-06-12T03:39:05.529", "lastUpdated" : "2026-06-14T19:49:50.091", "ingestTimestamp" : "2026-06-12T03:39:05.529", "mongoId" : "6a2a6ae174d8ee00a063d732", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ServiceNow architecture", "ServiceNow design", "System integrations", "Interoperability", "Architecture models", "Roadmaps", "Platform performance", "Platform security", "Business requirements", "Technical solutions", "Architecture design", "ServiceNow implementations", "ServiceNow improvements", "Service management capabilities", "Risk planning", "Security planning", "Continuity planning", "Technical documentation", "SOPs", "Knowledge base articles", "System metrics", "IT security standards", "Analytical mindset", "Problem-solving mindset", "Attention to detail", "Ownership", "Structured approach", "Organised approach", "ServiceNow Architecture", "Platform Design", "System Integrations", "Business Analysis", "Platform Governance", "Service Management", "Program management", "ServiceNow platform", "Service management concepts", "ServiceNow Certified System Administrator (CSA)", "ServiceNow", "Sparx Enterprise Architect", "ARIS" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "information-technology", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca34974d8ee00a09ab124", "title" : "Data Architect", "company" : "Further", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Data Architect in Dallas, adjusted for executive seniority and the technology industry." }, "location" : "Dallas, Texas", "locations" : [ "Dallas", "Texas" ], "timestamp" : "2026-06-15T05:27:30.192", "fingerprint" : "6dabf3d26bf39601624e8480f65680a8a9148e0a77ed4cb023074e3302198dd1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/further/jobs/8540294002", "externalId" : "8540294002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Postgres, Kafka, Redpanda, Pulsar, Kinesis, Snowflake, BigQuery, Databricks, ClickHouse, Pgvector, Pinecone, Weaviate, Qdrant, SQL, TypeScript, Dbt, Cube, Malloy", "professionalSkills" : [ "Schema evolution", "Tenant isolation", "Data modeling", "Query optimization", "Data warehousing", "OLAP patterns", "Embedding pipelines", "Retrieval patterns", "RAG systems", "Data governance", "Data lineage", "Data retention", "Data deletion", "Audit story", "Capacity planning" ], "hardSkillsList" : [ "Event versioning", "Upcaster chaining", "Projection rebuilding", "Schema design", "Row-level security", "Materialized views", "Vector stores", "Vector index maintenance", "Schema migrations" ], "hardSkills" : [ { "name" : "Event versioning", "level" : "intermediate" }, { "name" : "Upcaster chaining", "level" : "intermediate" }, { "name" : "Projection rebuilding", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Row-level security", "level" : "intermediate" }, { "name" : "Materialized views", "level" : "intermediate" }, { "name" : "Vector stores", "level" : "intermediate" }, { "name" : "Vector index maintenance", "level" : "intermediate" }, { "name" : "Schema migrations", "level" : "intermediate" } ], "majorSkills" : "Data architecture, Event-sourced systems, Postgres, Streaming platforms, Analytical data infrastructure, AI/ML data infrastructure, RAG systems", "majorSkillsList" : [ "Data architecture", "Event-sourced systems", "Postgres", "Streaming platforms", "Analytical data infrastructure", "AI/ML data infrastructure", "RAG systems" ], "coreResponsibilities" : "Define event envelope strategy, Define schema evolution strategy, Define upcaster chaining strategy, Define projection rebuild strategy, Define transactional data layer, Design Postgres schema, Implement tenant isolation, Define indexing strategy, Define query patterns, Define migration discipline, Define read-side architecture, Design projection design, Design materialized views, Define semantic layer, Define AI/ML data infrastructure, Define vector stores, Define embedding pipelines, Define RAG patterns, Define feature stores, Define data lineage, Define data retention policies, Define data deletion policies, Define audit story, Create operational playbook, Create projection rebuild procedures, Create replay procedures, Create schema migration procedures, Create vector index maintenance procedures, Create capacity planning procedures", "teamCollaboration" : "Work with Solution Architect; Work with Senior Developer", "domainKnowledge" : "Event-sourced systems; Multi-tenant systems; Transactional store; Read-side projections; AI/ML data infrastructure; Schema evolution; Tenant isolation; Row-level security; OLAP patterns; Vector databases; Embedding pipelines; Retrieval patterns; RAG systems; Long-running processes; Feature stores; ML pipelines; Model evaluation; Semantic layer; SOC 2; HIPAA; GDPR; Data residency; Audit story; Data governance; Data lineage; Data retention; Data deletion; Right-to-be-forgotten; Event log; Queryable shape; Vector index; Capacity planning", "domainList" : [ "event-sourced-systems", "multi-tenant-systems", "transactional-store", "read-side-projections", "ai-ml-data-infrastructure", "schema-evolution", "tenant-isolation", "row-level-security", "olap-patterns", "vector-databases", "embedding-pipelines", "retrieval-patterns", "rag-systems", "long-running-processes", "feature-stores", "ml-pipelines", "model-evaluation", "semantic-layer", "soc-2", "hipaa", "gdpr", "data-residency", "audit-story", "data-governance", "data-lineage", "data-retention", "data-deletion", "right-to-be-forgotten", "event-log", "queryable-shape", "vector-index", "capacity-planning" ], "domainSpecificKnowledge" : [ "Event-sourced systems", "Multi-tenant systems", "Transactional store", "Read-side projections", "AI/ML data infrastructure", "Schema evolution", "Tenant isolation", "Row-level security", "OLAP patterns", "Vector databases", "Embedding pipelines", "Retrieval patterns", "RAG systems", "Long-running processes", "Feature stores", "ML pipelines", "Model evaluation", "Semantic layer", "SOC 2", "HIPAA", "GDPR", "Data residency", "Audit story", "Data governance", "Data lineage", "Data retention", "Data deletion", "Right-to-be-forgotten", "Event log", "Queryable shape", "Vector index", "Capacity planning" ], "toolProficiency" : [ "Postgres", "Kafka", "Redpanda", "Pulsar", "Kinesis", "Snowflake", "BigQuery", "Databricks", "ClickHouse", "Pgvector", "Pinecone", "Weaviate", "Qdrant", "Temporal", "Cadence", "Airflow", "Dbt", "Cube", "Malloy" ], "problemSolvingSkills" : "Schema evolution problem; Tenant isolation requirements; AI workloads; Query plan analysis; Data volume; Schema evolution; Tenant isolation; AI workloads; Data governance; Data lineage; Data retention; Data deletion; Audit story; Operational playbook; Projection rebuilds; Replay procedures; Schema migrations; Vector index maintenance; Capacity planning", "qualificationsBasic" : "10+ years data engineering experience, 10+ years data platform experience, 10+ years database architecture experience, 3+ years architecture ownership, Production experience event-sourced systems, Implemented event envelope, Evolved event envelope, Dealt with upcaster chain, Deep Postgres expertise, Schema design expertise, Indexing expertise, Query plan analysis expertise, RLS expertise, Streaming platforms experience, Production analytical data infrastructure experience, Warehouse design experience, Modern OLAP patterns experience, Hands-on AI/ML data infrastructure experience, Shipped RAG system, SQL proficiency", "qualificationsPreferred" : "Drizzle ORM production depth, Prisma ORM production depth, TypeScript ORM production depth, Workflow engine experience, Feature stores background, ML pipelines background, Model evaluation infrastructure background, Semantic layer experience, Compliance experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat! Data Architect You own the data spine of the platform: the canonical event envelope, the multi-tenant transactional store, the read-side projections that power every console view and API response, and the AI/ML data infrastructure that makes the system intelligent rather than just instrumented. This is not a specialist role. We are hiring one person who has done all three surfaces at production depth and can hold the trade-offs simultaneously. The data volume is significant, the schema evolution problem is hard, the tenant isolation requirements are unforgiving, and the AI workloads sit on top of all of it. If any of those three surfaces feel uninteresting, this isn't the role. You'll work shoulder-to-shoulder with the Solution Architect on the canonical data model and with the Senior Developer on implementation. You write the migration playbooks, the upcaster chains, the projection rebuild procedures, and the runbooks that let us sleep at night. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. What experience should you have: 10+ years of data engineering, data platform, or database architecture experience, with at least 3 owning the architecture, not just the implementation. Production experience with event-sourced systems. You have personally implemented or evolved an event envelope, dealt with the upcaster chain problem, and lived with the consequences of an early schema decision. Deep Postgres expertise: schema design, indexing, query plan analysis, RLS. Not \"I've used Postgres\" but \"I know what I'd do differently from the last team.\" Experience with streaming platforms: Kafka, Redpanda, Pulsar, or Kinesis. You understand the difference between a topic, a partition, a consumer group, and a saga, and you've designed for all of them. Production analytical data infrastructure experience: warehouse design (Snowflake, BigQuery, Databricks, ClickHouse) or modern OLAP patterns. You can take an event log and produce a queryable shape that analysts and AI systems can actually use. Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know why most of them don' t. Strong SQL, strong enough to be the person other engineers go to. Nice to have Drizzle, Prisma, or another modern TypeScript ORM at production depth. Workflow engine experience (Temporal, Cadence, Airflow) and the data implications of long-running processes. Background in feature stores, ML pipelines, or model evaluation infrastructure. Semantic layer experience: dbt, Cube, or Malloy. Compliance experience: SOC 2, HIPAA, GDPR, data residency. The audit story is part of the data story. Open-source work or public writing on data architecture. What you’ll be doing in this role: The canonical event envelope and schema evolution strategy: how events are versioned, how upcasters chain, how projections rebuild, and how we add fields without breaking history. You write the rules and enforce them in code review. The transactional data layer: Postgres schema design, tenant isolation via row-level security, indexing strategy, query patterns, and migration discipline. Every table in a data plane carries a tenant_id and a policy. You make sure of that. The read-side architecture: projection design, materialized views, semantic layer for downstream analytics and AI consumption. You decide how we move from event log to queryable shape and how that shape stays cheap to maintain. The AI/ML data infrastructure: vector stores, embedding pipelines, retrieval-augmented generation patterns, feature stores where applicable, and the lineage that lets us trust what comes back. Data governance: lineage, retention, deletion (right-to-be-forgotten in a multi-tenant event-sourced system is a real problem and you'll solve it), and the audit story for every piece of customer data we touch. The operational playbook: projection rebuilds, replay procedures, schema migrations on hot data, vector index maintenance, capacity planning. If the data layer goes sideways at 2am, your runbook is what saves the on-call engineer Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our opportunities! #LI-Hybrid Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position. By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U. S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.", "summaryDescription" : "Data Architect at Further. Skills: Data architecture, Event-sourced systems, Postgres, Streaming platforms, Analytical data infrastructure, AI/ML data infrastructure, RAG systems. Define event envelope strategy. Define schema evolution strategy", "postedDate" : "2026-06-13T21:43:11.072", "createdAt" : "2026-06-13T21:43:11.072", "lastUpdated" : "2026-06-15T05:27:30.192", "ingestTimestamp" : "2026-06-13T21:43:11.072", "mongoId" : "6a2ca34974d8ee00a09ab124", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Event versioning", "Upcaster chaining", "Projection rebuilding", "Schema design", "Row-level security", "Materialized views", "Vector stores", "Vector index maintenance", "Schema migrations", "Data architecture", "Event-sourced systems", "Postgres", "Streaming platforms", "Analytical data infrastructure", "AI/ML data infrastructure", "RAG systems", "Schema evolution", "Tenant isolation", "Data modeling", "Query optimization", "Data warehousing", "OLAP patterns", "Embedding pipelines", "Retrieval patterns", "Data governance", "Data lineage", "Data retention", "Data deletion", "Audit story", "Capacity planning", "Multi-tenant systems", "Transactional store", "Read-side projections", "Vector databases", "Long-running processes", "Feature stores", "ML pipelines", "Model evaluation", "Semantic layer", "SOC 2", "HIPAA", "GDPR", "Data residency", "Right-to-be-forgotten", "Event log", "Queryable shape", "Vector index", "Kafka", "Redpanda", "Pulsar", "Kinesis", "Snowflake", "BigQuery", "Databricks", "ClickHouse", "Pgvector", "Pinecone", "Weaviate", "Qdrant", "Temporal", "Cadence", "Airflow", "Dbt", "Cube", "Malloy" ], "skillCount" : 65, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9fd174d8ee00a09a0a11", "title" : "Manager, AI Platform Architect", "company" : "Notable", "industry" : "Delivery", "salary" : { "min" : 148000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote USA", "locations" : [ "Remote USA" ], "timestamp" : "2026-06-16T02:10:45.899", "fingerprint" : "9e1fda6535e94f09a6bee822acbfd538bc043343e4afb62295c2c2a7f0d7a97c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/notable/bceb3f39-f5c9-4c7d-b5a7-36271e57fe7b/application", "externalId" : "bceb3f39-f5c9-4c7d-b5a7-36271e57fe7b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, LLMs, Prompt engineering", "professionalSkills" : [ "Workflow design", "Solution architecture", "Systems integration", "Project management", "Customer engagement", "Roadmap prioritization" ], "hardSkillsList" : [ "Platform architecture", "Workflow automation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Platform architecture", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Platform Architecture, Team Leadership, Customer Implementations", "majorSkillsList" : [ "AI Platform Architecture", "Team Leadership", "Customer Implementations" ], "coreResponsibilities" : "Lead AI Platform Architects, Mentor AI Platform Architects, Grow AI Platform Architects, Oversee delivery of implementations, Deliver high-quality flows, Provide technical oversight, Provide technical guidance, Ensure architecture scales effectively, Drive operational excellence, Streamline project planning, Streamline documentation, Streamline testing, Streamline customer collaboration, Act as escalation point, Unblock teams, Partner cross-functionally, Collaborate with Product, Collaborate with Engineering, Channel feedback into improvements, Channel market insight into improvements, Foster team learning, Foster team innovation, Promote best practice sharing, Promote platform mastery, Support hiring, Support onboarding, Scale the team with talent", "teamCollaboration" : "Cross-functional alignment; Customer Success; Product; Engineering", "projectManagementSkills" : [ "Project planning" ], "domainKnowledge" : "Healthcare AI; Enterprise software workflow; Health system technologies; EHRs; CRMs; Care coordination", "domainList" : [ "healthcare-ai", "enterprise-software-workflow", "health-system-technologies", "ehrs", "crms", "care-coordination" ], "domainSpecificKnowledge" : [ "Healthcare AI", "Enterprise software workflow", "Health system technologies", "EHRs", "CRMs", "Care coordination" ], "toolProficiency" : [ "Notable Flow Builder" ], "communicationSkills" : "Technical communication; Non-technical communication", "documentationSkills" : "Documentation", "continuousLearning" : "Best practice sharing; Platform mastery; Use of cutting-edge AI", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Solving challenging problems", "specialRequirements" : "Up to 40% travel", "outcomesObjectives" : "Deliver high-quality flows on time; Align flows to customer outcomes; Drive measurable customer impact", "qualificationsBasic" : "8+ years enterprise software experience, 3-5+ years managing technical teams, Background in implementation, Background in solution architecture, Background in systems integration, Proven ability to lead complex projects, Proven ability to lead customer engagements", "qualificationsPreferred" : "AI implementation experience preferred, Low-code environments experience preferred, Experience working with LLMs, Prompt engineering experience, Automation frameworks experience, Knowledge of health system technologies, Knowledge of EHRs, Knowledge of CRMs, Knowledge of care coordination tools", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together. Role Summary: As Manager, AI Platform Architect, you’ll lead a high-performing team of Platform Architects who work closely with customers to design, build, and optimize intelligent workflows using Notable’s Flow Builder platform. You’ll play a key role in scaling our platform architecture function by setting the standard for technical excellence, customer impact, and operational efficiency. You will guide your team in translating complex healthcare challenges into elegant, AI-driven solutions. You’ll help shape our approach to customer implementations, influence product direction, and serve as a mentor and coach—ensuring the success of your team and the broader organization. This is a player-coach role where you’ll be hands-on in solving challenging problems while also building team capabilities, driving strategic initiatives, and influencing cross-functional alignment across Customer Success, Product, and Engineering. What You’ll Do: - Lead, mentor, and grow a team of AI Platform Architects, supporting them in technical execution, customer engagement, and career development. - Oversee delivery of implementations, ensuring your team delivers high-quality flows on time and aligned to customer outcomes. - Provide technical oversight and guidance, ensuring architecture aligns with Notable’s best practices and scales effectively. - Drive operational excellence across your team—streamlining project planning, documentation, testing, and customer collaboration. - Act as an escalation point for complex implementations, helping unblock teams and partnering cross-functionally to resolve risks. - Collaborate with Product and Engineering, channeling feedback and market insight into platform improvements and roadmap prioritization. - Foster team learning and innovation, promoting best practice sharing, platform mastery, and use of cutting-edge AI techniques like LLMs and prompt engineering. - Support hiring and onboarding, helping scale the team with top talent and set up new hires for success. You’re a Great Fit if You: - Enjoy leading technical teams and helping others grow while maintaining a hands-on connection to the work. - Thrive in an entrepreneurial, mission-driven environment where innovation and autonomy are valued. - Bring a deep understanding of enterprise software workflow design, ideally within healthcare. - Communicate clearly across technical and non-technical audiences—from platform architects to clinical executives. - Can guide both strategy and execution, aligning daily work with broader outcomes. - Are energized by building scalable systems and driving measurable customer impact. What We’re Looking For: - 8+ years of experience in enterprise software or healthcare tech, including 3-5+ years managing technical teams. - Background in implementation, solution architecture, or systems integration, preferably in AI or low-code environments. - Proven ability to lead complex projects and customer engagements from discovery through delivery. - Experience working with LLMs, prompt engineering, or automation frameworks is a strong plus. - Knowledge of health system technologies like EHRs, CRMs, or care coordination tools is a plus. - Willingness to travel up to 40% for customer and internal engagements. #LI-TD1 We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings. Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be a recruiter from Notable from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here https://www.notablehealth.com/contact.", "summaryDescription" : "Manager, AI Platform Architect at Notable. Skills: AI Platform Architecture, Team Leadership, Customer Implementations. Lead AI Platform Architects. Mentor AI Platform Architects", "createdAt" : "2026-06-14T20:12:12.709", "lastUpdated" : "2026-06-16T02:10:45.899", "ingestTimestamp" : "2026-06-14T20:12:12.709", "mongoId" : "6a2c9fd174d8ee00a09a0a11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 148000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Platform architecture", "Workflow automation", "Leadership", "Mentoring", "AI Platform Architecture", "Team Leadership", "Customer Implementations", "Workflow design", "Solution architecture", "Systems integration", "Project management", "Customer engagement", "Roadmap prioritization", "Project planning", "Healthcare AI", "Enterprise software workflow", "Health system technologies", "EHRs", "CRMs", "Care coordination", "Notable Flow Builder" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0f974d8ee00a09dbb77", "title" : "Data Architect", "company" : "Cuesta Partners", "industry" : "Data & AI Consulting", "salary" : { "min" : 180000.0, "max" : 225000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-15T06:50:44.768", "fingerprint" : "4b4ee848a5a99b203733ecf931add93ee948d9fbde5b664cdf931088fe954524", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/cuesta-partners/8a574596-bc5f-42f5-bbf8-75ca61d580c3/application", "externalId" : "8a574596-bc5f-42f5-bbf8-75ca61d580c3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, Databricks, Microsoft Fabric, GCP Big Query, AWS DB Options, Azure Data Factory, Matillion, FiveTran, HVR, Keboola, Apache Airflow, PowerBI, Tableau, Looker, Domo, ThoughtSpot, Qlik, Oracle BI, SAP BI, AWS BI, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS S3, AWS Glue, AWS SageMaker, AWS Athena, GCP Vertex AI, Azure Synapse, Azure ML Studio", "professionalSkills" : [ "Business data modeling", "Data delivery design", "Master data governance", "Architecture transformations", "AI-augmented development" ], "hardSkillsList" : [ "Dimensional modeling", "3NF modeling", "Data Vault modeling", "Conceptual modeling", "Physical modeling", "Normalization", "De-normalization", "Data quality issues", "MDM architecture", "Data integration", "Data transformation", "Data orchestration", "ETL", "Batch design", "Streaming design", "Data mesh", "Cloud native platforms", "Legacy data solutions", "Change management" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Dimensional modeling", "level" : "intermediate" }, { "name" : "3NF modeling", "level" : "intermediate" }, { "name" : "Data Vault modeling", "level" : "intermediate" }, { "name" : "Conceptual modeling", "level" : "intermediate" }, { "name" : "Physical modeling", "level" : "intermediate" }, { "name" : "Normalization", "level" : "intermediate" }, { "name" : "De-normalization", "level" : "intermediate" }, { "name" : "Data quality issues", "level" : "intermediate" }, { "name" : "MDM architecture", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data orchestration", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Batch design", "level" : "intermediate" }, { "name" : "Streaming design", "level" : "intermediate" }, { "name" : "Data mesh", "level" : "intermediate" }, { "name" : "Cloud native platforms", "level" : "intermediate" }, { "name" : "Legacy data solutions", "level" : "intermediate" }, { "name" : "Change management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Architecture, Data Modeling, Cloud Data Platforms, Data Governance", "majorSkillsList" : [ "Data Architecture", "Data Modeling", "Cloud Data Platforms", "Data Governance" ], "coreResponsibilities" : "Design business data model, Set standard for AI-augmented development, Translate business requirements, Develop work estimates, Coach data engineers, Mentor data engineers, Define data architecture framework, Define reference architecture, Define data flows, Collaborate with team members, Coordinate with clients, Coordinate with SMEs", "teamCollaboration" : "Cross-functional teams; Client collaboration; SME coordination", "domainKnowledge" : "Data as product; Data mesh; Cloud native platforms; Legacy data solutions; MDM architecture styles; Unified operational data hubs; Unified analytics data hubs", "domainList" : [ "data-as-product", "data-mesh", "cloud-native-platforms", "legacy-data-solutions", "mdm-architecture-styles", "unified-operational-data-hubs", "unified-analytics-data-hubs" ], "domainSpecificKnowledge" : [ "Data as product", "Data mesh", "Cloud native platforms", "Legacy data solutions", "MDM architecture styles", "Unified operational data hubs", "Unified analytics data hubs" ], "toolProficiency" : [ "Snowflake", "Databricks", "Microsoft Fabric", "GCP Big Query", "AWS DB Options", "Azure Data Factory", "Matillion", "FiveTran", "HVR", "Keboola", "Dbt", "Apache Airflow", "PowerBI", "Tableau", "Looker", "Domo", "ThoughtSpot", "Qlik", "Cursor", "Claude Code", "Codex" ], "communicationSkills" : "Executive presentations; Technical communication", "continuousLearning" : "Constant exposure and learning", "innovationCreativity" : "AI-augmented development", "problemSolvingSkills" : "Root cause analysis; Design decision evaluation", "qualificationsBasic" : "Bachelor's in technical or quantitative field, 10+ years of work experience, Hands-on experience deploying solutions, SQL proficiency", "qualificationsPreferred" : "AI-assisted development tools experience, Previous experience in consulting, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Cuesta Partners is looking for a Data Architect to engage with us on transformational data programs with companies looking to take their AI & data capabilities to the next level. Key Areas of Focus: Business data modeling - Trade-offs between different modeling philosophies – dimensional, 3NF, Data Vault - Conceptual vs physical modeling - Modeling techniques such as inheritance, parent / child tables, ragged structures, slowly changing dimensions etc. - Normalization vs de-normalization trade-offs - Detailed understanding the design trade-offs around different modeling approaches - Ability to lead model review sessions, and being able to lay out the design \"options\" and implications, and also present it in a way that both executives and technical-minded people can understand Modern data delivery design patterns - Data as product - Design compromises & considerations - Know what exemplar deliverables look like - Team composition and responsibilities / work to be done - Streaming vs batch design patterns / considerations - Pros / cons of data mesh delivery model vs alternatives - Comparison of modern cloud native platforms vs legacy on-premises data solutions Master data governance - Types and most common root cause of DQ issues - Remediation approaches - MDM architecture styles / patterns - Key capabilities of MDM & DQ vendors Expert in technologies including 1 or more of each class: - Data management layer - Snowflake - Databricks - Microsoft Fabric - GCP Big Query/ AWS DB Options - Data acquisition & integration - Azure Data Factory (ADF) - Matillion - FiveTran & HVR - Keboola - Data transformation & orchestration - ETL - DBT - Python / SQL - Apache Airflow etc. - Vis: - PowerBI - Tableau - Looker - Domo / ThoughtSpot / Qlik / platform BI vendors (ORCL, SAP, AWS etc.) Architecture transformations: - Considerations / experience evaluating lift & shift vs re-model trade-offs - Considerations / experience when consolidating decentralized silos - Considerations / experience when moving to modern cloud stacks - Considerations / experience when enabling unified operational & analytics data hubs Communication & leadership skills: - Able to identify & evaluate most important criteria when making design decisions - Able to look around corners – recognize likely issues before they happen - Able to communicate complex subjects with executive leaders - Able to solicit input & feedback to model and design decisions - Ability to teach / leverage experience to develop team/talent around them - Use past experiences to help with change management to eases concerns over shifts in approach What You'll Do: - Design the business data model based on the discovered business processes and data analysis - Set the standard for AI-augmented development practices — ensuring projects are structured and tooled in ways that allow coding agents to operate effectively, and coaching the team to work the same way. - Translate business requirements into technical design specifications, including data streams, integrations, transformations, databases, and data warehouses. - Develop work estimates for Data Warehouse & Data Lake deliverables - Coach and mentor a team of a few dozen data engineers, analysts and ML Engineers on data architecture and modeling best practices - Define the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees - Define reference architecture, which is a pattern others can follow to create and improve data systems - Define data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition - Collaborate and coordinate with team members, clients and external SMEs What We're Looking For: - Bachelor’s degree in a technical or quantitative field (e.g. Computer Science, Math, Economics Statistics) - 10+ years of work experience in the data analytics space - Active, hands-on experience using AI-assisted development tools (e.g., Cursor, Claude Code, Codex, or similar) in your daily workflow — including building working prototypes, agentic pipelines, RAG systems, or LLM-powered data and analytics products — is a strong asset. - Previous experience in the consulting space is a plus - A passion for exploring and solving different kinds of problems - A desire to learn and assimilate technical information quickly - Hands-on experience deploying solutions in large-scale, high performing databases - Expertise aligned to technologies listed in Key Areas of Focus Benefits: What you’ll gain: At Cuesta, we value entrepreneurship, humility, diversity, learning, speed, and balance. We provide our team members with: - Constant opportunities for exposure & learning - Flexible working location and enabling personal-life harmony with work - Agency and influence in the company’s total strategy and direction - Collaboration with a high-performing team - Competitive base salary (outlined in this listing) and target bonus of 20-25% - Supplemental Health, Dental, Vision, and Life insurance", "summaryDescription" : "Data Architect at Cuesta Partners. Skills: Data Architecture, Data Modeling, Cloud Data Platforms, Data Governance. Design business data model. Set standard for AI-augmented development", "createdAt" : "2026-06-13T23:51:32.972", "lastUpdated" : "2026-06-15T06:50:44.768", "ingestTimestamp" : "2026-06-13T23:51:32.972", "mongoId" : "6a2cb0f974d8ee00a09dbb77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Dimensional modeling", "3NF modeling", "Data Vault modeling", "Conceptual modeling", "Physical modeling", "Normalization", "De-normalization", "Data quality issues", "MDM architecture", "Data integration", "Data transformation", "Data orchestration", "ETL", "Batch design", "Streaming design", "Data mesh", "Cloud native platforms", "Legacy data solutions", "Change management", "Leadership", "Mentoring", "Data Architecture", "Data Modeling", "Cloud Data Platforms", "Data Governance", "Business data modeling", "Data delivery design", "Master data governance", "Architecture transformations", "AI-augmented development", "Data as product", "MDM architecture styles", "Unified operational data hubs", "Unified analytics data hubs", "Snowflake", "Databricks", "Microsoft Fabric", "GCP Big Query", "AWS DB Options", "Azure Data Factory", "Matillion", "FiveTran", "HVR", "Keboola", "Dbt", "Apache Airflow", "PowerBI", "Tableau", "Looker", "Domo", "ThoughtSpot", "Qlik", "Cursor", "Claude Code", "Codex" ], "skillCount" : 55, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309f59f292fd229c109306", "title" : "Principal SAP Solution Architect", "company" : "Talan", "industry" : "Information Technology And Services", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal SAP Solution Architect in Toronto, Canada, adjusted for executive seniority and the technology industry." }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "timestamp" : "2026-06-16T12:36:18.308", "fingerprint" : "d7be72271191963899e3af4aa16bcb871d8b1b9c7aa51df0aee8dc01adbd9d97", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Talan/744000132229462-principal-sap-solution-architect", "externalId" : "744000132229462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "University degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SAP, Cloud ERP, BTP, Industry Cloud, Data, AI, S/4HANA Cloud Public, S/4HANA Cloud Private, Integration Suite, Extension Suite, Datasphere, Joule", "professionalSkills" : [ "Enterprise architecture", "Business strategy", "Solution architecture", "Architecture design", "Architecture roadmaps", "Cloud adoption", "Business models", "Clean core extensibility", "Business use cases", "Architectural frameworks" ], "hardSkillsList" : [ "SAP solution architecture", "S/4HANA Cloud architecture", "BTP architecture", "Integration architecture", "Extension architecture", "Datasphere architecture", "AI capabilities", "Embedded AI", "BTP AI services" ], "softSkillsList" : [ "Leadership", "Vision", "Customer Orientation", "Knowledge Sharing" ], "hardSkills" : [ { "name" : "SAP solution architecture", "level" : "intermediate" }, { "name" : "S/4HANA Cloud architecture", "level" : "intermediate" }, { "name" : "BTP architecture", "level" : "intermediate" }, { "name" : "Integration architecture", "level" : "intermediate" }, { "name" : "Extension architecture", "level" : "intermediate" }, { "name" : "Datasphere architecture", "level" : "intermediate" }, { "name" : "AI capabilities", "level" : "intermediate" }, { "name" : "Embedded AI", "level" : "intermediate" }, { "name" : "BTP AI services", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Vision" }, { "name" : "Customer Orientation" }, { "name" : "Knowledge Sharing" } ], "majorSkills" : "SAP Solution Architecture, S/4HANA Cloud, BTP, Cloud Strategy", "majorSkillsList" : [ "SAP Solution Architecture", "S/4HANA Cloud", "BTP", "Cloud Strategy" ], "coreResponsibilities" : "Lead executive-level discussions, Define SAP transformation roadmaps, Define investment priorities, Define cloud adoption strategies, Develop NorthStar architecture visions, Own end-to-end SAP architecture design, Make decisions on clean core versus extensions, Advise clients on SAP Industry Cloud solutions, Advise clients on AI capabilities, Provide perspectives on SAP's roadmap, Mentor junior architects, Share reasoning and architectural frameworks, Contribute to Talan's SAP practice", "teamCollaboration" : "Executive stakeholders; SAP team; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SAP; Cloud ERP; BTP; Industry Cloud; Data and AI; S/4HANA Cloud; Clean core extensibility; SAP Industry Cloud; Embedded AI; BTP AI services; CPG industry; Retail industry; Distribution industry; Manufacturing industry; Asset-intensive industries; Multi-entity organizations", "domainList" : [ "sap", "cloud-erp", "btp", "industry-cloud", "data-and-ai", "s-4hana-cloud", "clean-core-extensibility", "sap-industry-cloud", "embedded-ai", "btp-ai-services", "cpg-industry", "retail-industry", "distribution-industry", "manufacturing-industry", "asset-intensive-industries", "multi-entity-organizations" ], "domainSpecificKnowledge" : [ "SAP", "Cloud ERP", "BTP", "Industry Cloud", "Data and AI", "S/4HANA Cloud", "Clean core extensibility", "SAP Industry Cloud", "Embedded AI", "BTP AI services", "CPG industry", "Retail industry", "Distribution industry", "Manufacturing industry", "Asset-intensive industries", "Multi-entity organizations" ], "toolProficiency" : [ "SAP BTP", "SAP Datasphere", "SAP Integration Suite", "SAP Extension Suite" ], "communicationSkills" : "Executive presentations; Client communication", "documentationSkills" : "Document decisions", "continuousLearning" : "Professional development", "innovationCreativity" : "Applied research; Experimental development; Innovation laboratory", "problemSolvingSkills" : "Translate vision into architectures", "outcomesObjectives" : "Achieve measurable performance and ROI; Design, build, and scale solutions; Enable companies to grow more efficiently; Ensure architectural decisions tied to business outcomes; Maintain solution integrity throughout delivery", "qualificationsBasic" : "University degree in Information Technology, Engineering, Business, or related field, or equivalent experience, Extensive experience in SAP solution architecture, Full lifecycle ownership of S/4HANA Cloud Public and Private Editions, Proven experience designing architectures leveraging SAP BTP, Integration Suite, Extension Suite, Datasphere, and AI capabilities, Ability to clearly articulate architectural trade-offs to business audiences, Translate strategy into delivery-ready designs", "qualificationsPreferred" : "Good oral and written communication skills in French is considered an asset", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently. Reporting to the Vice-President, SAP Delivery , the Principal SAP Solution Architect is a member of the SAP team. You will play a pivotal role at the intersection of enterprise architecture and business strategy, supporting organizations as they define where they are going with SAP and cloud, not just how to configure existing systems. At Talan, this role is designed for a senior architect trusted to engage with executive stakeholders, understand financial and operational priorities, and translate that vision into actionable SAP architectures. You design NorthStar target-state architectures across the full SAP suite - Cloud ERP, BTP, Industry Cloud, Data and AI - ensuring every architectural decision is tied to tangible business outcomes while maintaining solution integrity throughout delivery. Your mission consists of: * Leadership, Vision & Initiative * Lead executive-level discussions to define SAP transformation roadmaps, investment priorities, and cloud adoption strategies aligned with client business goals. * Develop and articulate NorthStar architecture visions grounded in industry context and business models. * Operational Excellence * Own end-to-end SAP architecture design across S/4HANA Cloud Public and Private Editions and the extended SAP ecosystem (BTP, Datasphere, integration, clean core extensibility). * Make and document deliberate decisions on clean core versus extensions and integrations to ensure long-term sustainability. * Customer Orientation * Advise clients on the appropriate use of SAP Industry Cloud solutions and AI capabilities (embedded AI, Joule, BTP AI services), focusing on high-value business use cases. * Provide informed perspectives on SAP’s roadmap and its implications for current architecture decisions. * Knowledge Sharing * Mentor junior and mid-level architects by sharing your reasoning and architectural frameworks. * Contribute to the growth of Talan’s SAP practice through reusable frameworks, accelerators, and client-facing points of view. #LI-SAMLEBEL ## Qualifications * Technical expertise : Extensive experience in SAP solution architecture across S/4HANA Cloud Public (GROW with SAP) and Private Edition (RISE with SAP), with full lifecycle ownership. * SAP achievements: Proven experience designing architectures leveraging SAP BTP, Integration Suite, Extension Suite, Datasphere, and AI capabilities. * Industry experience : Exposure to CPG, retail, distribution, manufacturing, or asset-intensive industries, including SAP Industry Cloud solutions. * Transformation context : Strong background in complex environments such as multi-entity organizations. * Executive leadership : Ability to clearly articulate architectural trade-offs to business audiences and translate strategy into delivery-ready designs. * Education : University degree in Information Technology, Engineering, Business, or a related field, or equivalent experience. * Communication : Good oral and written communication skills, in English, to communicate with clients located across North America. Good oral and written communication skills in French is considered an asset. ## Additional Information What about the advantages of joining us? Aside from joining a professional and dynamic team, you will be entitled to our compensation plan and various other benefits, such as the opportunity to be part of a talented team. All that you deserve and more: * Professional development. * Profit sharing. * Health & well-being insurance on your first day. * RPDP, Deferred Profit-Sharing Regime. * Flexible work in hybrid mode. * Allowance for public transit and cell phone. * Generous employer participation to your RRSP. If this opportunity speaks to you, apply today! Talan offers competitive salaries and equal opportunities for all. If you are motivated to take on stimulating challenges and meet the requirements, send us your resume now! Please note that we will only communicate with candidates selected for an interview. For the purposes of this job offer, the feminine and masculine genders designate indistinctly the staff of both sexes and do not establish any distinction based on sex. Talan is committed to employment equity.", "summaryDescription" : "Principal SAP Solution Architect at Talan. Skills: SAP Solution Architecture, S/4HANA Cloud, BTP, Cloud Strategy. Lead executive-level discussions. Define SAP transformation roadmaps", "postedDate" : "2026-06-15T15:10:18.000", "createdAt" : "2026-06-16T03:33:39.622", "lastUpdated" : "2026-06-16T12:36:18.308", "ingestTimestamp" : "2026-06-16T03:33:39.622", "mongoId" : "6a309f59f292fd229c109306", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "SAP solution architecture", "S/4HANA Cloud architecture", "BTP architecture", "Integration architecture", "Extension architecture", "Datasphere architecture", "AI capabilities", "Embedded AI", "BTP AI services", "Leadership", "Vision", "Customer Orientation", "Knowledge Sharing", "SAP Solution Architecture", "S/4HANA Cloud", "BTP", "Cloud Strategy", "Enterprise architecture", "Business strategy", "Solution architecture", "Architecture design", "Architecture roadmaps", "Cloud adoption", "Business models", "Clean core extensibility", "Business use cases", "Architectural frameworks", "Roadmap planning", "SAP", "Cloud ERP", "Industry Cloud", "Data and AI", "SAP Industry Cloud", "CPG industry", "Retail industry", "Distribution industry", "Manufacturing industry", "Asset-intensive industries", "Multi-entity organizations", "SAP BTP", "SAP Datasphere", "SAP Integration Suite", "SAP Extension Suite" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f20f292fd229cf78ef9", "title" : "Principal SAP Solution Architect", "company" : "Talan", "industry" : "Information Technology And Services", "salary" : { "min" : 200000.0, "max" : 275000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal SAP Solution Architect in Toronto, Canada, adjusted for executive seniority and the technology industry." }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "timestamp" : "2026-06-16T09:42:17.260", "fingerprint" : "3e586cca4319aaa57b11c2a551b6938fe8e7cdadd3d47fa5054012094240a7da", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Talan/744000132229462-principal-sap-solution-architect", "externalId" : "744000132229462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "University degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SAP, Cloud ERP, BTP, Industry Cloud, Data, AI, S/4HANA Cloud Public, S/4HANA Cloud Private, Integration Suite, Extension Suite, Datasphere, Joule", "professionalSkills" : [ "Enterprise architecture", "Business strategy", "Solution architecture", "Architecture design", "Architecture roadmaps", "Cloud adoption", "Business models", "Clean core extensibility", "Business use cases", "Architectural frameworks", "Architectural trade-offs" ], "hardSkillsList" : [ "SAP solution architecture", "S/4HANA Cloud architecture", "BTP architecture", "Integration architecture", "Extension architecture", "Datasphere architecture", "AI capabilities", "Industry Cloud solutions" ], "softSkillsList" : [ "Leadership", "Vision", "Customer Orientation", "Knowledge Sharing", "Mentoring" ], "hardSkills" : [ { "name" : "SAP solution architecture", "level" : "intermediate" }, { "name" : "S/4HANA Cloud architecture", "level" : "intermediate" }, { "name" : "BTP architecture", "level" : "intermediate" }, { "name" : "Integration architecture", "level" : "intermediate" }, { "name" : "Extension architecture", "level" : "intermediate" }, { "name" : "Datasphere architecture", "level" : "intermediate" }, { "name" : "AI capabilities", "level" : "intermediate" }, { "name" : "Industry Cloud solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Vision" }, { "name" : "Customer Orientation" }, { "name" : "Knowledge Sharing" }, { "name" : "Mentoring" } ], "majorSkills" : "SAP Solution Architecture, S/4HANA Cloud, BTP, Cloud Adoption", "majorSkillsList" : [ "SAP Solution Architecture", "S/4HANA Cloud", "BTP", "Cloud Adoption" ], "coreResponsibilities" : "Lead executive-level discussions, Define SAP transformation roadmaps, Define investment priorities, Define cloud adoption strategies, Develop NorthStar architecture visions, Own end-to-end SAP architecture design, Make decisions on clean core versus extensions, Advise clients on SAP Industry Cloud solutions, Advise clients on AI capabilities, Provide perspectives on SAP's roadmap, Mentor junior architects, Share architectural frameworks, Contribute to Talan's SAP practice", "teamCollaboration" : "Executive stakeholders; SAP team; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SAP; Cloud ERP; BTP; Industry Cloud; Data and AI; S/4HANA Cloud; Clean core extensibility; Embedded AI; BTP AI services; CPG industry; Retail industry; Distribution industry; Manufacturing industry; Asset-intensive industries", "domainList" : [ "sap", "cloud-erp", "btp", "industry-cloud", "data-and-ai", "s-4hana-cloud", "clean-core-extensibility", "embedded-ai", "btp-ai-services", "cpg-industry", "retail-industry", "distribution-industry", "manufacturing-industry", "asset-intensive-industries" ], "domainSpecificKnowledge" : [ "SAP", "Cloud ERP", "BTP", "Industry Cloud", "Data and AI", "S/4HANA Cloud", "Clean core extensibility", "Embedded AI", "BTP AI services", "CPG industry", "Retail industry", "Distribution industry", "Manufacturing industry", "Asset-intensive industries" ], "toolProficiency" : [ "SAP BTP", "SAP Datasphere", "SAP Integration Suite", "SAP Extension Suite" ], "communicationSkills" : "Executive presentations; Client communication", "documentationSkills" : "Document decisions", "continuousLearning" : "Professional development", "outcomesObjectives" : "Achieve measurable performance and ROI; Grow more efficiently; Ensure solution integrity; Tie architectural decisions to business outcomes", "qualificationsBasic" : "University degree in Information Technology, Engineering, Business, or related field, or equivalent experience, Extensive experience in SAP solution architecture, Full lifecycle ownership of S/4HANA Cloud Public and Private Editions, Proven experience designing architectures leveraging SAP BTP, Integration Suite, Extension Suite, Datasphere, and AI capabilities, Ability to clearly articulate architectural trade-offs to business audiences, Translate strategy into delivery-ready designs", "qualificationsPreferred" : "Good oral and written communication skills in French is considered an asset", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently. Reporting to the Vice-President, SAP Delivery , the Principal SAP Solution Architect is a member of the SAP team. You will play a pivotal role at the intersection of enterprise architecture and business strategy, supporting organizations as they define where they are going with SAP and cloud, not just how to configure existing systems. At Talan, this role is designed for a senior architect trusted to engage with executive stakeholders, understand financial and operational priorities, and translate that vision into actionable SAP architectures. You design NorthStar target-state architectures across the full SAP suite - Cloud ERP, BTP, Industry Cloud, Data and AI - ensuring every architectural decision is tied to tangible business outcomes while maintaining solution integrity throughout delivery. Your mission consists of: * Leadership, Vision & Initiative * Lead executive-level discussions to define SAP transformation roadmaps, investment priorities, and cloud adoption strategies aligned with client business goals. * Develop and articulate NorthStar architecture visions grounded in industry context and business models. * Operational Excellence * Own end-to-end SAP architecture design across S/4HANA Cloud Public and Private Editions and the extended SAP ecosystem (BTP, Datasphere, integration, clean core extensibility). * Make and document deliberate decisions on clean core versus extensions and integrations to ensure long-term sustainability. * Customer Orientation * Advise clients on the appropriate use of SAP Industry Cloud solutions and AI capabilities (embedded AI, Joule, BTP AI services), focusing on high-value business use cases. * Provide informed perspectives on SAP’s roadmap and its implications for current architecture decisions. * Knowledge Sharing * Mentor junior and mid-level architects by sharing your reasoning and architectural frameworks. * Contribute to the growth of Talan’s SAP practice through reusable frameworks, accelerators, and client-facing points of view. #LI-SAMLEBEL ## Qualifications * Technical expertise : Extensive experience in SAP solution architecture across S/4HANA Cloud Public (GROW with SAP) and Private Edition (RISE with SAP), with full lifecycle ownership. * SAP achievements: Proven experience designing architectures leveraging SAP BTP, Integration Suite, Extension Suite, Datasphere, and AI capabilities. * Industry experience : Exposure to CPG, retail, distribution, manufacturing, or asset-intensive industries, including SAP Industry Cloud solutions. * Transformation context : Strong background in complex environments such as multi-entity organizations. * Executive leadership : Ability to clearly articulate architectural trade-offs to business audiences and translate strategy into delivery-ready designs. * Education : University degree in Information Technology, Engineering, Business, or a related field, or equivalent experience. * Communication : Good oral and written communication skills, in English, to communicate with clients located across North America. Good oral and written communication skills in French is considered an asset. ## Additional Information What about the advantages of joining us? Aside from joining a professional and dynamic team, you will be entitled to our compensation plan and various other benefits, such as the opportunity to be part of a talented team. All that you deserve and more: * Professional development. * Profit sharing. * Health & well-being insurance on your first day. * RPDP, Deferred Profit-Sharing Regime. * Flexible work in hybrid mode. * Allowance for public transit and cell phone. * Generous employer participation to your RRSP. If this opportunity speaks to you, apply today! Talan offers competitive salaries and equal opportunities for all. If you are motivated to take on stimulating challenges and meet the requirements, send us your resume now! Please note that we will only communicate with candidates selected for an interview. For the purposes of this job offer, the feminine and masculine genders designate indistinctly the staff of both sexes and do not establish any distinction based on sex. Talan is committed to employment equity.", "summaryDescription" : "Principal SAP Solution Architect at Talan. Skills: SAP Solution Architecture, S/4HANA Cloud, BTP, Cloud Adoption. Lead executive-level discussions. Define SAP transformation roadmaps", "postedDate" : "2026-06-15T15:10:18.000", "createdAt" : "2026-06-16T00:15:17.823", "lastUpdated" : "2026-06-16T09:42:17.260", "ingestTimestamp" : "2026-06-16T00:15:17.823", "mongoId" : "6a305f20f292fd229cf78ef9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SAP solution architecture", "S/4HANA Cloud architecture", "BTP architecture", "Integration architecture", "Extension architecture", "Datasphere architecture", "AI capabilities", "Industry Cloud solutions", "Leadership", "Vision", "Customer Orientation", "Knowledge Sharing", "Mentoring", "SAP Solution Architecture", "S/4HANA Cloud", "BTP", "Cloud Adoption", "Enterprise architecture", "Business strategy", "Solution architecture", "Architecture design", "Architecture roadmaps", "Cloud adoption", "Business models", "Clean core extensibility", "Business use cases", "Architectural frameworks", "Architectural trade-offs", "Roadmap planning", "SAP", "Cloud ERP", "Industry Cloud", "Data and AI", "Embedded AI", "BTP AI services", "CPG industry", "Retail industry", "Distribution industry", "Manufacturing industry", "Asset-intensive industries", "SAP BTP", "SAP Datasphere", "SAP Integration Suite", "SAP Extension Suite" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3078e8f292fd229c02db24", "title" : "Revenue Workflow Analyst", "company" : "Coder", "industry" : "Revenue", "salary" : { "min" : 78000.0, "max" : 121000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T12:39:08.424", "fingerprint" : "a38d00c16cb60e3436323b055003706e47e1ef56f907121e18d914858f305f58", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/coder/f86d9ca6-1a46-4594-91a7-c955904ced49/application", "externalId" : "f86d9ca6-1a46-4594-91a7-c955904ced49", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "rawDescription" : "Coder is looking for an early-career Revenue Workflow Analyst to help our GTM teams work faster, learn sooner, and make better decisions. This role matters because clean systems help teams spend less time chasing inputs and more time understanding customers. You’ll work across Sales, Customer Success, Marketing, Product, Finance, and RevOps to improve the workflows behind our growth. You’ll clean data, map processes, build lightweight tools, test AI-assisted workflows, and turn messy inputs into reliable systems. What you’ll do here - Support day-to-day revenue workflows across Salesforce and related GTM systems - Build lightweight automations, structured templates, and repeatable processes that reduce manual work - Create and test AI-assisted workflows for account research, CRM updates, customer summaries, and pipeline insights - Review AI-generated outputs for accuracy, clarity, and usefulness - Help maintain clean, accurate account, contact, opportunity, and customer data - Build and update reports, dashboards, spreadsheets, and operating views for GTM teams - Analyze revenue data to spot trends, gaps, risks, and process issues - Partner with Sales, Customer Success, Marketing, Product, Finance, and RevOps on process improvements - Troubleshoot workflow issues independently, then escalate with clear context and a recommendation - Translate business questions into clear analysis using spreadsheets, CRM reports, SQL, or BI tools - Learn how revenue systems connect, then help make those connections cleaner and easier to use Example projects you’ll help build - Forecasting: Improve the weekly forecast process by cleaning Salesforce data, tracking pipeline movement, and helping leaders understand what changed - Value workflow replacement: Help rebuild the Mediafly Value Prompter workflow into a lighter, more accurate, and more maintainable process - Weekly pipeline meetings: Own the prep, notes, follow-ups, and reporting that make pipeline reviews useful and consistent - Lead signal consolidation: Combine signals from 6sense, ZoomInfo, LinkedIn Sales Navigator, Salesforce, and other tools into a weekly leads report - Prospecting alerts: Create dashboards and alerts that highlight accounts Sales should prioritize based on buying signals and account fit What we’re looking for - 0–2 years of experience in operations, data analysis, systems work, computer engineering, or a related internship or project - Strong analytical skills and comfort working with spreadsheets, structured data, and business metrics - A self-starter who can take a vague problem, define the next step, and make progress independently - An engineering mindset. You break problems down, test assumptions, document decisions, and improve the system - High attention to detail. You catch messy data, unclear handoffs, and broken processes - Strong written communication skills. You can explain what changed, what matters, and what should happen next - Comfort learning new tools quickly, especially CRM, reporting, automation, and AI tools - A builder mindset. You like turning repeat work into cleaner workflows - Strong ownership. You follow through, ask good questions, and raise issues with context - Comfort with ambiguity. You can start with imperfect inputs and create structure as you go - Interest in AI-assisted workflows, automation, and modern GTM systems - Ability to travel under 10% Bonus tacos if you have - Internship, coursework, or project experience with Salesforce, HubSpot, spreadsheets, SQL, BI tools, or automation tools - Experience building dashboards, trackers, internal tools, scripts, or lightweight automations - Familiarity with Python, JavaScript, APIs, Zapier, n8n, Clay, or similar tools - Experience using AI tools to summarize information, clean data, research accounts, or improve workflows - Exposure to Sales, Customer Success, Marketing, Finance, or RevOps teams - Interest in developer tools, cloud infrastructure, enterprise software, or open-source technology - A portfolio, school project, side project, or work sample that shows how you solve problems with data and systems Our GTM systems and workflow environment You’ll learn the systems that help Coder understand customers, manage revenue, and support growth. That may include Salesforce, HubSpot, Gong, Pylon, Slack, Google Workspace, BI tools, spreadsheets, and AI-assisted workflows. The goal is practical: cleaner data, faster handoffs, better decisions. You’ll get context from the team, but we’ll count on you to move independently, think like a builder, and improve how work gets done. ABOUT CODER Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale. INTERVIEW PROCESS We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on \"Automated Employment Decision Tools\"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com. CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.", "summaryDescription" : "Revenue Workflow Analyst at Coder", "createdAt" : "2026-06-16T01:59:24.320", "lastUpdated" : "2026-06-16T12:39:08.424", "ingestTimestamp" : "2026-06-16T01:59:24.320", "mongoId" : "6a3078e8f292fd229c02db24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 121000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308632f292fd229c07e7fc", "title" : "ServiceNow Administrator", "company" : "Wachter", "industry" : "IT", "salary" : { "min" : 90000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Lowell, AR", "locations" : [ "Lowell, AR" ], "certifications" : [ "ServiceNow certifications" ], "timestamp" : "2026-06-16T15:22:24.158", "fingerprint" : "5279f8284f172a2fcf4bf3b95455baf10f68b9651b27fc4100091d315661e6bd", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/wachter/c3ea9aaa-de46-46a3-a83f-78930cd69a73/apply", "externalId" : "c3ea9aaa-de46-46a3-a83f-78930cd69a73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lowell", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.2553543,-94.1307587" } ], "locationText" : "Lowell, Arkansas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "coreResponsibilities" : "Manage and maintain the ServiceNow platform, Configure and customize ServiceNow modules, Develop and implement workflows and automation, Provide technical support and troubleshooting, Collaborate with stakeholders to gather requirements, Create and maintain system documentation, Perform system upgrades and patching, Ensure data integrity and security", "teamCollaboration" : "Cross-functional teams; IT stakeholders", "domainKnowledge" : "IT Service Management (ITSM); ITIL framework", "domainList" : [ "it-service-management-itsm", "itil-framework" ], "domainSpecificKnowledge" : [ "IT Service Management (ITSM)", "ITIL framework" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "System documentation", "problemSolvingSkills" : "Troubleshooting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Are you a hands-on ServiceNow professional who thrives on taking a platform from initial rollout to enterprise maturity? Wachter is currently executing a large-scale ServiceNow implementation that will transform our project delivery, field services, sourcing, and operations. We are seeking a skilled ServiceNow Administrator with a proven implementation and rollout background to help configure, stabilize, and scale this mission-critical system. Initially, you will focus on integration support and UAT readiness, eventually evolving into the primary platform owner driving continuous improvement. If you are comfortable working with fluid requirements, love collaborating with dynamic teams, and excel at translating complex business processes into scalable solutions, we want to hear from you! ## Primary Responsibilities Implementation & Configuration (Initial Focus) Configure and maintain core ServiceNow modules being implemented across the business, including Strategic Portfolio Management (SPM), Field Service Management (FSM), and project/workflow automation. Collaborate with multiple teams to translate business requirements into workflows, forms, business rules, UI policies, and automation. Support UAT cycles, pilot phases, and phased cutovers, including defect triage, configuration fixes, and deployment support. Assist with data migration, field configuration, and environment readiness across development, test, and production instances. Integrations & Platform Alignment Collaborate with internal teams and vendors on integrations between ServiceNow and Salesforce, Dayforce, NetSuite, and MuleSoft, ensuring data consistency and business process alignment. Help document integration touchpoints, field mappings, and dependency risks during rollout and enhancement planning. Operational Ownership & Continuous Improvement Transition the platform from implementation to steady-state ownership, including enhancement intake, backlog grooming, and release support. Support role-based access, licensing, and environment governance as usage expands. Partner on training readiness, adoption support, and documentation, and supporting leadership as the platform scales. What Success Looks Like in the First 12 Months ServiceNow rollout milestones supported through successful UAT and production cutovers. Business stakeholders can clearly see end-to-end processes working across platforms (Salesforce → ServiceNow → NetSuite). Admin becomes a trusted contributor who proactively identifies improvements, not just reacting to requests. ## Qualifications Required Qualifications 4+ years of hands-on ServiceNow administration experience ServiceNow CSA or CIS certifications Direct experience supporting new implementations or major module rollouts Strong configuration skills: workflows, business rules, UI policies, forms, tables, ACLs Experience supporting or coordinating integrations with external systems Comfortable working in fast-moving environments with evolving requirements Strong communication skills with technical and non-technical stakeholders Preferred Qualifications Experience with SPM, FSM, or complex project-based ServiceNow use cases Experience supporting UAT, pilots, and phased enterprise rollouts Familiarity with Agile delivery, release management, and MVP-based implementation ## Additional Information About: Wachter is a family-owned company since 1930 and we see each employee as a critical piece of the Wachter Family. With over 900 licenses across the country, Wachter serves commercial and industrial clients with the right technologies needed to keep them successful. We design, install, and maintain the technologies that keep businesses operating efficiently. Our team of dedicated electricians, engineers, and technicians provides electrical, data, security, communications, and automation services to clients in numerous industries. Follow us on Facebook, Instagram, Twitter, and LinkedIn. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.", "summaryDescription" : "ServiceNow Administrator at Wachter. Manage and maintain the ServiceNow platform. Configure and customize ServiceNow modules", "postedDate" : "2026-06-15T18:28:24.424", "createdAt" : "2026-06-15T18:28:24.424", "lastUpdated" : "2026-06-16T15:22:24.158", "ingestTimestamp" : "2026-06-16T03:26:26.192", "mongoId" : "6a308632f292fd229c07e7fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "IT Service Management (ITSM)", "ITIL framework", "ServiceNow certifications" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e2ce260f92cbf8e95f", "title" : "Data Architect", "company" : "Amazon AWS Services Brazil Ltd", "industry" : "Solutions Architect, Professional Services, Cloud Computing", "salary" : { "min" : 245000.0, "max" : 365000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Architect in Sao Paulo, Brazil, adjusted for the technology industry and a large company size." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T03:45:40.862", "fingerprint" : "b9ef006c660f9370c4a4d65521727a8ec28ff00678eb57f58ea3081ea11cd3c7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099798/apply", "externalId" : "e59caa4e-ebe6-4f87-a48f-78f8ae5b0eff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis, AWS, Athena, Glue, Lambda, S3, DynamoDB, EMR, Redshift, EC2, SageMaker", "professionalSkills" : [ "Cloud architecture", "Data architecture", "Solution architecture", "Migration strategy", "Enterprise cloud adoption", "Data-driven enterprise", "Code reuse" ], "hardSkillsList" : [ "Data modeling", "System design", "Performance optimization", "Risk management" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" } ], "majorSkills" : "Data Architecture, Cloud Solutions, AWS Services", "majorSkillsList" : [ "Data Architecture", "Cloud Solutions", "AWS Services" ], "coreResponsibilities" : "Define data architectures, Implement data architectures, Deliver technical assessments, Understand customer requirements, Create service offerings, Create compelling vision, Promote code reuse, Collaborate with AWS teams, Help customers learn AWS services", "teamCollaboration" : "Customer teams; AWS Partner Network; AWS field sales; Pre-sales teams; Training teams; Support teams", "domainKnowledge" : "Data Lake; Lake House; Data Mesh; Distributed computing; Data and Business intelligence; Machine Learning; Batch data processing; Real-time data processing; Cloud computing", "domainList" : [ "data-lake", "lake-house", "data-mesh", "distributed-computing", "data-and-business-intelligence", "machine-learning", "batch-data-processing", "real-time-data-processing", "cloud-computing" ], "domainSpecificKnowledge" : [ "Data Lake", "Lake House", "Data Mesh", "Distributed computing", "Data and Business intelligence", "Machine Learning", "Batch data processing", "Real-time data processing", "Cloud computing" ], "specialRequirements" : "Up to 50% travel", "qualificationsBasic" : "3+ years of database experience, 3+ years of cloud based solution experience, Bachelor's degree in business, computer science, data science, or engineering", "qualificationsPreferred" : "Experience with AWS services", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. The Professional Services (ProServe) team is seeking a skilled Data Architect to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Data Architect you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. These professional services engagements will focus on customer solutions such as Data and Business intelligence, machine Learning and batch/real-time data processing. Key job responsibilities As an experienced technology professional, you will be responsible for: - Help the customer to define and implement data architectures (Data Lake, Lake House, Data Mesh, etc). Engagements include short on-site projects proving the use of AWS Data services to support new distributed computing solutions that often span private cloud and public cloud services. - Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings. - Engaging with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment. Create new artifacts that promotes code reuse. - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional services when needed, up to 50%. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - Experience in cloud architecture - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience, or Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Able to communicate effectively in English, within technical and business settings. Preferred Qualifications: - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Architect at Amazon AWS Services Brazil Ltd. Skills: Data Architecture, Cloud Solutions, AWS Services. Define data architectures. Implement data architectures", "postedDate" : "2026-06-13T15:47:05.289", "createdAt" : "2026-06-13T15:47:05.289", "lastUpdated" : "2026-06-15T03:45:40.862", "ingestTimestamp" : "2026-06-13T15:47:05.289", "mongoId" : "68e0a7e2ce260f92cbf8e95f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099798/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "System design", "Performance optimization", "Risk management", "Data Architecture", "Cloud Solutions", "AWS Services", "Cloud architecture", "Data architecture", "Solution architecture", "Migration strategy", "Enterprise cloud adoption", "Data-driven enterprise", "Code reuse", "Data Lake", "Lake House", "Data Mesh", "Distributed computing", "Data and Business intelligence", "Machine Learning", "Batch data processing", "Real-time data processing", "Cloud computing" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a191e7758b93c861e39f841", "title" : "ADAS Platform Software Architect", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior ADAS Platform Software Architect in the United States, adjusted for seniority and the technology industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-16T02:16:05.604", "fingerprint" : "ef0c8f66cca777b36f722cab6efcd635e2c74046880b859a4bb981e263c83f2d", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881292", "externalId" : "881292", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SoC, Linux, QNX, RTOS, C, C++, Python, POSIX, Ethernet, AUTOSAR, SOME/IP, QNX io-pkt, DDS", "professionalSkills" : [ "System design", "Performance optimization", "Software debugging", "Problem solving", "Analytical skill", "Inter-cultural competence" ], "hardSkillsList" : [ "Middleware AUTOSAR/DDS", "Automotive software", "Middleware Development", "Performance Optimization", "IPC mechanism", "Automotive network" ], "softSkillsList" : [ "Good communication skills", "Teamwork spirit", "Independent working style", "Pro-active working style" ], "hardSkills" : [ { "name" : "Middleware AUTOSAR/DDS", "level" : "intermediate" }, { "name" : "Automotive software", "level" : "intermediate" }, { "name" : "Middleware Development", "level" : "intermediate" }, { "name" : "Performance Optimization", "level" : "intermediate" }, { "name" : "IPC mechanism", "level" : "intermediate" }, { "name" : "Automotive network", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Good communication skills" }, { "name" : "Teamwork spirit" }, { "name" : "Independent working style" }, { "name" : "Pro-active working style" } ], "coreResponsibilities" : "Design advanced software platforms, Implement advanced software platforms, Create robust architectures, Create scalable architectures, Ensure platform meets standards, Document architecture, Verify architecture, Align requirements, Drive development, Support project teams, Integrate supplier requirements", "teamCollaboration" : "Internal teams; External partners; Suppliers; Various hierarchy levels", "domainKnowledge" : "Autonomous driving; Assisted driving; Automated driving; Middleware Technologies; Adaptive AUTOSAR; ASPICE; Safety Norms; ISO26262", "domainList" : [ "autonomous-driving", "assisted-driving", "automated-driving", "middleware-technologies", "adaptive-autosar", "aspice", "safety-norms", "iso26262" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Assisted driving", "Automated driving", "Middleware Technologies", "Adaptive AUTOSAR", "ASPICE", "Safety Norms", "ISO26262" ], "toolProficiency" : [ "Develop tools-chain" ], "communicationSkills" : "Inter-cultural competence; Communication skills", "documentationSkills" : "Document architecture", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem solving skill; Analytical skill", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "8 years SW development, 5 years Middleware AUTOSAR/DDS, Automotive software development, Middleware Development, Performance Optimization, Performance optimizations, Efficient implementations, Software debugging, Through knowledge Middleware Technologies, Proficient C / C++, Scripting languages, Python, Large software system development, Optimizing POSIX-based Operating Systems, Performance analysis, IPC mechanism, Middleware Technologies, Adaptive AUTOSAR, DDS, Chinese native speaker, Fluent English", "qualificationsPreferred" : "Experience in automotive network architecture, Ethernet, AUTOSAR SOME/IP, QNX io-pkt, Experience with ASPICE, Safety Norms like ISO26262, German language beneficial", "remoteFriendly" : false, "rawDescription" : "The mission of the GRC/RDCS department is to lead the development of the ADAS (Advanced Driver Assistance Systems) platform for Mercedes-Benz China, ensuring the delivery of innovative, reliable, and high-performance solutions that support the company’s vision for autonomous and assisted driving technologies. The ADAS Platform Software Architect is responsible for designing and implementing advanced software platforms that support autonomous driving products. This role focuses on creating robust and scalable architectures using modern technologies such as SoC, virtualization, and operating systems like Linux, QNX, and RTOS. The architect will ensure the platform meets high standards for performance, reliability, and scalability, and will document and verify the architecture to support business and technical goals. Collaboration is key, as the architect will work closely with internal teams, external partners, and suppliers—both locally and internationally—to align requirements and drive the successful development of automated driving and driver assistance systems. The position also involves supporting project teams in China and ensuring that supplier requirements are integrated into the platform’s design and implementation Education · B achelor in computer science, robotics, electrical engineering or a related field Experience · At least 8 years working experience in SW development, 5 years Middleware AUTOSAR/DDS development experience. · Experience in automotive software development, including Middleware Development, Performance Optimization · Experience in performance optimizations, writing efficient implementations, and software debugging · Excellent problem solving skill and analytical skill. · Good communication skills and teamwork spirit · Inter-cultural competence and communication skills with various hierarchy levels. · Independent and pro-active working style, willingness to travel inside China and abroad to conduct system testing · Chinese native speaker with fluent English language skills, German language beneficial Knowledge · Through knowledge and understanding of Middleware Technologies and develop tools-chain is a must . · Proficient C / C++ language programming skill is a must. · Strong skill in scripting languages (Python among others) with large software system development experience is a must · Experience in Optimizing of POSIX-based Operating Systems and Performance analysis · E xperience in IPC mechanism with different Middleware Technologies like Adaptive AUTOSAR or DDS · Experience in automotive network architecture e.g. Ethernet , AUTOSAR SOME/IP and QNX io-pkt, etc. is preferred · Experience with ASPICE and Safety Norms like ISO26262 Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "ADAS Platform Software Architect at Mercedes-Benz Digital Tech Ltd.. Design advanced software platforms. Implement advanced software platforms", "createdAt" : "2026-06-14T18:49:43.722", "lastUpdated" : "2026-06-16T02:16:05.604", "ingestTimestamp" : "2026-06-14T18:49:43.722", "mongoId" : "6a191e7758b93c861e39f841", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Middleware AUTOSAR/DDS", "Automotive software", "Middleware Development", "Performance Optimization", "IPC mechanism", "Automotive network", "Good communication skills", "Teamwork spirit", "Independent working style", "Pro-active working style", "System design", "Performance optimization", "Software debugging", "Problem solving", "Analytical skill", "Inter-cultural competence", "Autonomous driving", "Assisted driving", "Automated driving", "Middleware Technologies", "Adaptive AUTOSAR", "ASPICE", "Safety Norms", "ISO26262", "Develop tools-chain" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306e6bf292fd229cfdeff6", "title" : "Revenue Workflow Analyst", "company" : "Coder", "industry" : "Revenue", "salary" : { "min" : 78000.0, "max" : 121000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:02:59.363", "fingerprint" : "507d0725e4061312a4a34917f4d22bb51875c8bbf2afb96d11577377ed6dd89a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Coder/f86d9ca6-1a46-4594-91a7-c955904ced49/application", "externalId" : "f86d9ca6-1a46-4594-91a7-c955904ced49", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "rawDescription" : "Coder is looking for an early-career Revenue Workflow Analyst to help our GTM teams work faster, learn sooner, and make better decisions. This role matters because clean systems help teams spend less time chasing inputs and more time understanding customers. You’ll work across Sales, Customer Success, Marketing, Product, Finance, and RevOps to improve the workflows behind our growth. You’ll clean data, map processes, build lightweight tools, test AI-assisted workflows, and turn messy inputs into reliable systems. What you’ll do here - Support day-to-day revenue workflows across Salesforce and related GTM systems - Build lightweight automations, structured templates, and repeatable processes that reduce manual work - Create and test AI-assisted workflows for account research, CRM updates, customer summaries, and pipeline insights - Review AI-generated outputs for accuracy, clarity, and usefulness - Help maintain clean, accurate account, contact, opportunity, and customer data - Build and update reports, dashboards, spreadsheets, and operating views for GTM teams - Analyze revenue data to spot trends, gaps, risks, and process issues - Partner with Sales, Customer Success, Marketing, Product, Finance, and RevOps on process improvements - Troubleshoot workflow issues independently, then escalate with clear context and a recommendation - Translate business questions into clear analysis using spreadsheets, CRM reports, SQL, or BI tools - Learn how revenue systems connect, then help make those connections cleaner and easier to use Example projects you’ll help build - Forecasting: Improve the weekly forecast process by cleaning Salesforce data, tracking pipeline movement, and helping leaders understand what changed - Value workflow replacement: Help rebuild the Mediafly Value Prompter workflow into a lighter, more accurate, and more maintainable process - Weekly pipeline meetings: Own the prep, notes, follow-ups, and reporting that make pipeline reviews useful and consistent - Lead signal consolidation: Combine signals from 6sense, ZoomInfo, LinkedIn Sales Navigator, Salesforce, and other tools into a weekly leads report - Prospecting alerts: Create dashboards and alerts that highlight accounts Sales should prioritize based on buying signals and account fit What we’re looking for - 0–2 years of experience in operations, data analysis, systems work, computer engineering, or a related internship or project - Strong analytical skills and comfort working with spreadsheets, structured data, and business metrics - A self-starter who can take a vague problem, define the next step, and make progress independently - An engineering mindset. You break problems down, test assumptions, document decisions, and improve the system - High attention to detail. You catch messy data, unclear handoffs, and broken processes - Strong written communication skills. You can explain what changed, what matters, and what should happen next - Comfort learning new tools quickly, especially CRM, reporting, automation, and AI tools - A builder mindset. You like turning repeat work into cleaner workflows - Strong ownership. You follow through, ask good questions, and raise issues with context - Comfort with ambiguity. You can start with imperfect inputs and create structure as you go - Interest in AI-assisted workflows, automation, and modern GTM systems - Ability to travel under 10% Bonus tacos if you have - Internship, coursework, or project experience with Salesforce, HubSpot, spreadsheets, SQL, BI tools, or automation tools - Experience building dashboards, trackers, internal tools, scripts, or lightweight automations - Familiarity with Python, JavaScript, APIs, Zapier, n8n, Clay, or similar tools - Experience using AI tools to summarize information, clean data, research accounts, or improve workflows - Exposure to Sales, Customer Success, Marketing, Finance, or RevOps teams - Interest in developer tools, cloud infrastructure, enterprise software, or open-source technology - A portfolio, school project, side project, or work sample that shows how you solve problems with data and systems Our GTM systems and workflow environment You’ll learn the systems that help Coder understand customers, manage revenue, and support growth. That may include Salesforce, HubSpot, Gong, Pylon, Slack, Google Workspace, BI tools, spreadsheets, and AI-assisted workflows. The goal is practical: cleaner data, faster handoffs, better decisions. You’ll get context from the team, but we’ll count on you to move independently, think like a builder, and improve how work gets done. ABOUT CODER Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale. INTERVIEW PROCESS We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on \"Automated Employment Decision Tools\"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com. CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.", "summaryDescription" : "Revenue Workflow Analyst at Coder", "createdAt" : "2026-06-16T00:29:19.959", "lastUpdated" : "2026-06-16T11:02:59.363", "ingestTimestamp" : "2026-06-16T00:29:19.959", "mongoId" : "6a306e6bf292fd229cfdeff6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 121000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c767e74d8ee00a093a1f7", "title" : "Staff / Principal Forward-Deployed Architect, Data Modernization", "company" : "Qualified Health", "industry" : "Data Engineering", "salary" : { "min" : 190000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T07:12:17.755", "fingerprint" : "1cb0160822b3e30562ce16fa5337689a21d23808100ac5136a84e2a2c43e4309", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/qualified-health-pbc/645ed31c-5252-45ce-8f12-2dcdf1b853fb/application", "externalId" : "645ed31c-5252-45ce-8f12-2dcdf1b853fb", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Databricks, Snowflake, Microsoft Fabric, Delta Sharing, Azure, FHIR, HL7, Bicep, Iceberg", "professionalSkills" : [ "Solutions architecture", "Data platform architecture", "Technical leadership", "Architecture design", "Technical discovery", "SOW scoping", "Technical risk assessment", "Technical narrative", "Customer confidence" ], "hardSkillsList" : [ "Data engineering", "Cloud platform", "Lakehouse architecture", "Data sharing", "Security controls", "IaC", "Observability", "Identity management", "Key management" ], "softSkillsList" : [ "Pragmatism", "Pre-Sales Presence", "Opinions, Loosely Held" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Cloud platform", "level" : "intermediate" }, { "name" : "Lakehouse architecture", "level" : "intermediate" }, { "name" : "Data sharing", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" }, { "name" : "IaC", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "Key management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Pragmatism" }, { "name" : "Pre-Sales Presence" }, { "name" : "Opinions, Loosely Held" } ], "majorSkills" : "Data Modernization, Forward-Deployed Architecture, AI Governance, EHR Data Foundation", "majorSkillsList" : [ "Data Modernization", "Forward-Deployed Architecture", "AI Governance", "EHR Data Foundation" ], "coreResponsibilities" : "Own cross-platform reference architecture, Evolve reference architecture, Serve as engagement-embedded tech lead, Lead technical discovery, Assess source environments, Design defensible target state, Lead and develop team, Set technical bar, Review engineering deliverables, Approve engineering deliverables, Partner with Engagement Manager, Scope SOWs, Defend timelines, Surface technical risk, Coordinate technical handoffs, Deploy AI workflows, Maintain technical engagement playbook, Maintain library of accelerators, Carry technical narrative, Present to CTOs, Convert technical credibility", "teamCollaboration" : "Platform-specialist Senior Data Engineers; Cloud/Platform Engineer; Engagement Manager; Field CDO; QH Platform team", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Healthcare data; Epic Clarity/Caboodle; Cogito on Cloud; Bulk FHIR; Claims data; CDC; PHI segmentation; BAA scope; Audit posture; Modern Data Platform", "domainList" : [ "healthcare-data", "epic-clarity-caboodle", "cogito-on-cloud", "bulk-fhir", "claims-data", "cdc", "phi-segmentation", "baa-scope", "audit-posture", "modern-data-platform" ], "domainSpecificKnowledge" : [ "Healthcare data", "Epic Clarity/Caboodle", "Cogito on Cloud", "Bulk FHIR", "Claims data", "CDC", "PHI segmentation", "BAA scope", "Audit posture", "Modern Data Platform" ], "toolProficiency" : [ "Terraform", "Bicep" ], "communicationSkills" : "Executive technical conversations; CTO conversations; Client presentations", "documentationSkills" : "Documentation Discipline; Playbook as product", "innovationCreativity" : "Generative AI in healthcare; AI agent creation; Algorithm monitoring", "problemSolvingSkills" : "Solve complex challenges; Root cause analysis", "specialRequirements" : "25-35% travel", "outcomesObjectives" : "Collapse path from data exists to AI workflows; Ship code yourself; Optimize for delivered value", "qualificationsBasic" : "Bachelor's degree in Computer Science, 10+ years in data engineering, Hands-on production experience, Three enterprise lakehouse implementations, Deep cloud fluency, Client-facing experience leading executive technical conversations", "qualificationsPreferred" : "Master's degree preferred, Healthcare data fluency, Direct experience with modern data sharing patterns, HIPAA / HITRUST-regulated opinions, Background in a Databricks / Snowflake / Microsoft Fabric professional services", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Transform healthcare with us. At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change. This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board. Join us in shaping the future of healthcare. JOB SUMMARY The Staff / Principal Forward-Deployed Architect is the senior-most technologist in our Data Modernization Services function — and the single named architect across every engagement we run. You own the reference architecture that defines how we land an EHR-anchored, AI-ready data foundation on Databricks, Snowflake, and Microsoft Fabric, and you stay close enough to the work to ship code yourself when an engagement calls for it. The work is unusually high-leverage. Every health system we modernize — from legacy reporting databases and SFTP-driven feeds to a modern lakehouse with Delta Sharing, Reader Accounts, or Fabric External Sharing — collapses the path from \"data exists somewhere\" to \"agentic AI workflows can safely run against it.\" You're the person who decides what that target state looks like, defends those choices in front of a customer CTO, and then leads the team that builds it on a 10-week greenfield clock. You'll lead a tight bench of platform-specialist Senior Data Engineers (one each on Databricks, Snowflake, and Fabric) plus a Cloud/Platform Engineer. You're the public face of the practice in pre-sales discovery — and during active delivery, you're the engagement-embedded tech lead. Strong opinions, loosely held. Equally comfortable in a CTO conversation and a Terraform repo. This posting spans both Staff and Principal levels; the offer level is calibrated to depth of experience and breadth of demonstrated technical leadership. KEY RESPONSIBILITIES - Own the cross-platform reference architecture for the Modern Data Platform across Databricks, Snowflake, and Fabric — and evolve it as platforms and partners change - Serve as the engagement-embedded tech lead on the active engagement: architecture, design reviews, and hands-on build on the hardest parts - Lead technical discovery with prospective health system partners — assess source environments (Epic Clarity/Caboodle, Cogito on Cloud, Bulk FHIR, flat-file SFTP) and design a defensible target state - Lead and develop a team of platform-specialist Senior Data Engineers and a Cloud/Platform Engineer; set the technical bar - Review and approve all engineering deliverables — IaC, ingestion patterns, data sharing topology, security controls - Partner with the Engagement Manager and Field CDO to scope SOWs, defend timelines, and surface technical risk before it becomes schedule risk - Coordinate technical handoffs to the QH Platform team via Delta Sharing / Reader Account so AI workflows can be deployed against the modernized foundation - Maintain the technical engagement playbook and a library of accelerators so each engagement starts further along than the last - Carry the technical narrative in pre-sales: present to CTOs, CDOs, and enterprise architects; convert technical credibility into signed work REQUIRED QUALIFICATIONS - Education: Bachelor's degree in Computer Science, Engineering, or a related field. Master's preferred. - Required Experience: - 10+ years in data engineering, data platform architecture, or solutions architecture roles, with demonstrated technical leadership of multi-person teams - Hands-on production experience across at least two of Databricks, Snowflake, and Microsoft Fabric — and the technical curiosity and pattern-recognition to credibly own the third - Three or more enterprise lakehouse / cloud data platform implementations delivered in regulated industries - Deep cloud fluency, with Azure as the most common engagement substrate: networking, identity, key management, IaC (Terraform or Bicep), and observability - Client-facing experience leading executive technical conversations — comfortable in a room with a health system CTO, CDO, or CISO IDEAL EXPERIENCE - Healthcare data fluency: Epic Clarity / Caboodle, Cogito on Cloud, Bulk FHIR, HL7, claims data, and the realities of on-prem-to-cloud CDC - Direct experience with modern data sharing patterns: Delta Sharing, Snowflake Reader Accounts, Fabric External Sharing, Iceberg shortcuts - HIPAA / HITRUST-regulated environments; opinions on PHI segmentation, BAA scope, and audit posture - Background in a Databricks / Snowflake / Microsoft Fabric professional services or field engineering org, a healthcare-focused consultancy, or a large IDN data platform team - Track record of architecting under a time-boxed engagement (e.g., 8–10 week greenfield delivery) rather than open-ended programs DESIRABLE SKILLS - Multi-Platform Judgment: You don't get religious about Databricks vs Snowflake vs Fabric. You can articulate when each is the right call for a given customer's data gravity, existing investments, and roadmap — and design accordingly - Architect Who Still Builds: You lead by example. You review IaC and PySpark, you pair on the hardest design problems, and you'll personally drive the build on the gnarliest part of an engagement instead of throwing it over the wall - Pragmatism: You know the difference between the architecturally ideal target and what a 10-week engagement can realistically land — and you optimize for delivered value without quietly accumulating technical debt - Pre-Sales Presence: You can walk into a discovery session cold, ask the right five questions, and leave with a credible architectural sketch. You convert technical depth into customer confidence - Strong Opinions, Loosely Held: You bring a point of view to every architecture review, defend it well, and update it cleanly when the customer environment or new information argues against you - Documentation Discipline: You treat the playbook as a product. Every engagement leaves behind patterns, accelerators, and decisions the next engagement inherits TRAVEL REQUIREMENTS This role requires travel to healthcare client sites for engagement kickoffs, technical discovery sessions, on-site working weeks, and key milestones. Candidates should be prepared for 25–35% travel, depending on active engagements and pre-sales pipeline. WHY JOIN QUALIFIED HEALTH? This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. This role specifically is one of the highest-leverage technical seats in the company. You're not maintaining one platform — you're defining how an entire generation of health systems gets onto a modern, AI-ready data foundation. Every engagement you architect compounds across our partner base. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. OUR COMMITMENT TO DIVERSITY Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. PAY & BENEFITS The pay range for this role is between $190,000 and $250,000, and will depend on your skills, qualifications, and experience. This role is also eligible for equity and benefits.", "summaryDescription" : "Staff / Principal Forward-Deployed Architect, Data Modernization at Qualified Health. Skills: Data Modernization, Forward-Deployed Architecture, AI Governance, EHR Data Foundation. Own cross-platform reference architecture. Evolve reference architecture", "createdAt" : "2026-06-14T06:35:07.596", "lastUpdated" : "2026-06-15T07:12:17.755", "ingestTimestamp" : "2026-06-14T06:35:07.596", "mongoId" : "6a2c767e74d8ee00a093a1f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Cloud platform", "Lakehouse architecture", "Data sharing", "Security controls", "IaC", "Observability", "Identity management", "Key management", "Pragmatism", "Pre-Sales Presence", "Opinions, Loosely Held", "Data Modernization", "Forward-Deployed Architecture", "AI Governance", "EHR Data Foundation", "Solutions architecture", "Data platform architecture", "Technical leadership", "Architecture design", "Technical discovery", "SOW scoping", "Technical risk assessment", "Technical narrative", "Customer confidence", "Roadmap planning", "Healthcare data", "Epic Clarity/Caboodle", "Cogito on Cloud", "Bulk FHIR", "Claims data", "CDC", "PHI segmentation", "BAA scope", "Audit posture", "Modern Data Platform", "Terraform", "Bicep" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "68e6b1d570f0b99d58d6680e", "title" : "Data Architect", "company" : "Amazon AWS Services Brazil Ltd", "industry" : "Solutions Architect, Professional Services, Cloud Computing", "salary" : { "min" : 245000.0, "max" : 365000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Architect in Sao Paulo, Brazil, adjusted for the technology industry and a large company size." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "certifications" : [ "AWS Professional level certification" ], "timestamp" : "2026-06-15T00:58:58.864", "fingerprint" : "30067a04a682607c0fce5cb8cc2707008a4df3bcb9552e222e8df302e53ac71d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104032/apply", "externalId" : "d4cbeb7c-5b41-40f1-9900-137d8591857d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis, AWS, EC2, EBS, S3, Python, Perl, Ruby", "professionalSkills" : [ "Cloud architecture", "Migration strategies", "Industry trends", "Emerging technologies" ], "hardSkillsList" : [ "Database management", "Cloud implementation", "Project delivery", "Automation scripting" ], "softSkillsList" : [ "Mentoring", "Training" ], "hardSkills" : [ { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud implementation", "level" : "intermediate" }, { "name" : "Project delivery", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Training" } ], "majorSkills" : "Data Architecture, AWS Solutions, Cloud Migration", "majorSkillsList" : [ "Data Architecture", "AWS Solutions", "Cloud Migration" ], "coreResponsibilities" : "Design AWS solutions, Implement AWS solutions, Manage AWS solutions, Provide technical guidance, Provide troubleshooting support, Collaborate with stakeholders, Gather requirements, Propose migration strategies, Advise customers, Share knowledge, Mentor team members, Train team members, Create reusable artifacts", "teamCollaboration" : "Customer teams; AWS Partner Network; Global specialty practices", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Cloud computing; AWS Cloud", "domainList" : [ "cloud-computing", "aws-cloud" ], "domainSpecificKnowledge" : [ "Cloud computing", "AWS Cloud" ], "communicationSkills" : "Communicate effectively", "documentationSkills" : "Reusable artifacts", "continuousLearning" : "Ongoing learning experiences", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Meet technical requirements; Meet business objectives; Drive customer success; Achieve specific outcomes", "qualificationsBasic" : "3+ years database experience, 3+ years cloud architecture experience, 3+ years cloud projects experience, Communicate effectively in English, Bachelor's degree", "qualificationsPreferred" : "3+ years customer facing project management, AWS services knowledge, Scripting for automation experience, Cloud technology optimization experience, Project management experience, AWS Professional level certification, Associate's degree or above", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Data Architect to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Data Architect you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 2. Providing technical guidance and troubleshooting support throughout project delivery 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 4. Acting as a trusted advisor to customers on industry trends and emerging technologies 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 3+ years of experience in cloud architecture and implementation, preferably with AWS - 3+ Experience delivering cloud projects or cloud based solutions - Able to communicate effectively in English, within technical and business settings. - Bachelor's degree in Business, Computer Science, or related field. - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience Preferred Qualifications: - 3+ years of external or internal customer facing, complex and large scale project management experience - Knowledge of AWS services, such as Elastic Compute Cloud (EC2), Elastic Block Storage (EBS), and Simple Storage Service (S3) - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience working with Cloud related technology, and optimized or designed Cloud related technology for an enterprise customer - Experience managing and or coordinating projects in a fast pace environment - AWS Professional level certification, or Associate's degree or above Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Architect at Amazon AWS Services Brazil Ltd. Skills: Data Architecture, AWS Solutions, Cloud Migration. Design AWS solutions. Implement AWS solutions", "postedDate" : "2026-06-13T12:43:33.940", "createdAt" : "2026-06-13T12:43:33.940", "lastUpdated" : "2026-06-15T00:58:58.864", "ingestTimestamp" : "2026-06-13T12:43:33.940", "mongoId" : "68e6b1d570f0b99d58d6680e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104032/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Database management", "Cloud implementation", "Project delivery", "Automation scripting", "Mentoring", "Training", "Data Architecture", "AWS Solutions", "Cloud Migration", "Cloud architecture", "Migration strategies", "Industry trends", "Emerging technologies", "Project management", "Cloud computing", "AWS Cloud", "AWS Professional level certification" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305117f292fd229cef95fb", "title" : "Architect Data Engineer", "industry" : "IT", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Architect Data Engineer in the US, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:55:32.725", "fingerprint" : "5ed90df0eac8b96206fec7f8f45b31b5ce562b535b23b052549e06cc311ec650", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/33d32dd7-2db0-4a78-86ff-48138ad5fbfa/apply", "externalId" : "33d32dd7-2db0-4a78-86ff-48138ad5fbfa", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Snowflake, Kinetica, NoSQL, Graph databases, RDF, Property graph modeling, Streaming, Batch, CDC, Cloud-native scaling, API-first, LLM-based systems", "professionalSkills" : [ "System design", "Performance tuning", "Roadmap definition" ], "hardSkillsList" : [ "Data modeling", "Schema design", "Ontology design", "Performance benchmarking", "Data governance", "Resource optimization", "Indexing strategies", "Partitioning strategies", "Scaling strategies" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Ontology design", "level" : "intermediate" }, { "name" : "Performance benchmarking", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Resource optimization", "level" : "intermediate" }, { "name" : "Indexing strategies", "level" : "intermediate" }, { "name" : "Partitioning strategies", "level" : "intermediate" }, { "name" : "Scaling strategies", "level" : "intermediate" } ], "majorSkills" : "Data platform architecture, Agentic AI, Knowledge graphs, ETL/ELT pipelines", "majorSkillsList" : [ "Data platform architecture", "Agentic AI", "Knowledge graphs", "ETL/ELT pipelines" ], "coreResponsibilities" : "Define end-to-end architecture, Lead data platform architecture, Support Agentic AI, Integrate data systems, Design multi-tenant schemas, Design knowledge graph ontologies, Enable advanced reasoning, Enable contextual understanding, Enable cross-domain data retrieval, Oversee performance, Oversee reliability, Oversee security, Ensure high availability, Serve as technical advisor, Align architectural decisions, Establish performance benchmarks, Design advanced ETL/ELT pipelines, Optimize ETL/ELT pipelines, Define database governance, Enforce database governance, Define scaling strategies, Enforce scaling strategies, Collaborate on API-first design, Collaborate on tool-enabled design", "teamCollaboration" : "Technical advisor for clients; Collaborate on design", "projectManagementSkills" : [ "Roadmap definition" ], "domainKnowledge" : "Agentic AI; Structured data; Unstructured data; Graph-based data; Knowledge graph design; AI agents; LLM-based systems; Real-time analytics; AI/ML systems; Agent-based systems; Distributed systems", "domainList" : [ "agentic-ai", "structured-data", "unstructured-data", "graph-based-data", "knowledge-graph-design", "ai-agents", "llm-based-systems", "real-time-analytics", "ai-ml-systems", "agent-based-systems", "distributed-systems" ], "domainSpecificKnowledge" : [ "Agentic AI", "Structured data", "Unstructured data", "Graph-based data", "Knowledge graph design", "AI agents", "LLM-based systems", "Real-time analytics", "AI/ML systems", "Agent-based systems", "Distributed systems" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Continuous technical upskilling", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Performance optimization; Resource optimization; System scalability", "outcomesObjectives" : "Support real-time agentic execution", "qualificationsBasic" : "10+ years data engineering, 10+ years data architecture, 10+ years platform engineering, Architect hybrid data ecosystems, Design knowledge graph, Design ETL/ELT pipelines, Design streaming pipelines, Design batch pipelines, Design CDC pipelines, Understand database internals, Experience building data platforms, Client-facing technical lead, Run workshops, Gather requirements, Define architectural roadmaps, Knowledge of data security principles, RBAC knowledge, Row-level security knowledge, Communication skills, Stakeholder management skills", "qualificationsPreferred" : "Familiarity with semantic layers, Dbt Semantic Layer experience a plus, Cube experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and lead the end-to-end architecture for a modern data platform supporting Agentic AI, integrating structured, unstructured, and graph-based data systems. Design multi-tenant schemas and knowledge graph ontologies to enable advanced reasoning, contextual understanding, and cross-domain data retrieval for AI agents. Oversee performance, reliability, and security of large-scale data systems including Snowflake and Kinetica, ensuring high availability for mission-critical workloads. Serve as the primary technical advisor for clients, leading discovery workshops and aligning architectural decisions with business and AI strategy goals. Establish performance benchmarks for data latency, retrieval accuracy, and system scalability to support real-time agentic execution. Design and optimize advanced ETL/ELT pipelines, including streaming, batch, and CDC-based data ingestion strategies. Define and enforce database governance, including indexing, partitioning, resource optimization, and cloud-native scaling strategies. Collaborate on the design of API-first and tool-enabled data layers for integration with AI agents and LLM-based systems. Requirements: 10+ years of experience in data engineering, data architecture, or platform engineering roles within enterprise or AI-driven environments. Strong expertise in architecting hybrid data ecosystems using platforms such as Snowflake, Kinetica, NoSQL, and graph databases. Deep knowledge of knowledge graph design, including RDF or property graph modeling for enterprise-scale systems. Proven experience designing and optimizing ETL/ELT pipelines, including streaming, batch, and CDC architectures. Strong understanding of database internals, including indexing strategies, partitioning, scaling, and performance tuning in cloud environments. Experience building data platforms that support real-time analytics, AI/ML, or agent-based systems. Client-facing experience as a technical lead, including running workshops, gathering requirements, and defining architectural roadmaps. Familiarity with semantic layers (e.g., dbt Semantic Layer, Cube) is a strong plus. Knowledge of data security principles such as RBAC and row-level security in distributed systems. Strong communication and stakeholder management skills with a consultative mindset. Benefits: Competitive compensation aligned with experience and market standards. Remote work flexibility within Canada or the US East region. Opportunity to work on cutting-edge Agentic AI and enterprise data platform architectures. Exposure to Fortune 500 clients and large-scale AI transformation initiatives. Access to advanced cloud, AI, and data technologies in a research-driven environment. Strong culture of innovation, learning, and continuous technical upskilling. Collaborative environment working alongside highly skilled AI and data engineering teams. Opportunity to influence next-generation data architectures powering real-world AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Architect Data Engineer. Skills: Data platform architecture, Agentic AI, Knowledge graphs, ETL/ELT pipelines. Define end-to-end architecture. Lead data platform architecture", "postedDate" : "2026-06-15T08:28:59.739", "createdAt" : "2026-06-15T08:28:59.739", "lastUpdated" : "2026-06-16T12:55:32.725", "ingestTimestamp" : "2026-06-16T03:19:54.304", "mongoId" : "6a305117f292fd229cef95fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data modeling", "Schema design", "Ontology design", "Performance benchmarking", "Data governance", "Resource optimization", "Indexing strategies", "Partitioning strategies", "Scaling strategies", "Data platform architecture", "Agentic AI", "Knowledge graphs", "ETL/ELT pipelines", "System design", "Performance tuning", "Roadmap definition", "Structured data", "Unstructured data", "Graph-based data", "Knowledge graph design", "AI agents", "LLM-based systems", "Real-time analytics", "AI/ML systems", "Agent-based systems", "Distributed systems" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305117f292fd229cef95fc", "title" : "Architect Data Engineer", "industry" : "IT", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Architect Data Engineer in Canada, adjusted for seniority and remote work in the technology industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T10:58:40.875", "fingerprint" : "62e21c56d7ed33a2ecaf70c29c6b4e9e3466cd3ca3912d7880e3637ce02b851b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fb12e251-0879-4104-81e3-d8e3160afe0c/apply", "externalId" : "fb12e251-0879-4104-81e3-d8e3160afe0c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Snowflake, Kinetica, NoSQL, Graph databases, RDF, Property graph modeling, ETL, ELT, Streaming, Batch, CDC, Cloud-native scaling, API-first, LLM-based systems", "professionalSkills" : [ "System design", "Technical advising", "Stakeholder management", "Architectural roadmaps" ], "hardSkillsList" : [ "Data modeling", "Performance tuning", "Data governance", "Knowledge graph design", "ETL/ELT pipeline optimization", "Database internals", "Security principles" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Knowledge graph design", "level" : "intermediate" }, { "name" : "ETL/ELT pipeline optimization", "level" : "intermediate" }, { "name" : "Database internals", "level" : "intermediate" }, { "name" : "Security principles", "level" : "intermediate" } ], "majorSkills" : "Data architecture, Agentic AI, Knowledge graphs, Data platforms", "majorSkillsList" : [ "Data architecture", "Agentic AI", "Knowledge graphs", "Data platforms" ], "coreResponsibilities" : "Define and lead end-to-end architecture for data platform, Support Agentic AI, Integrate structured, unstructured, and graph-based data systems, Design multi-tenant schemas, Design knowledge graph ontologies, Enable advanced reasoning, Enable contextual understanding, Enable cross-domain data retrieval for AI agents, Oversee performance of large-scale data systems, Oversee reliability of large-scale data systems, Oversee security of large-scale data systems, Ensure high availability for mission-critical workloads, Serve as primary technical advisor for clients, Lead discovery workshops, Align architectural decisions with business goals, Align architectural decisions with AI strategy goals, Establish performance benchmarks for data latency, Establish performance benchmarks for retrieval accuracy, Establish performance benchmarks for system scalability, Support real-time agentic execution, Design advanced ETL/ELT pipelines, Optimize advanced ETL/ELT pipelines, Define database governance, Enforce database governance, Define indexing strategies, Define partitioning strategies, Define resource optimization, Define cloud-native scaling strategies, Collaborate on design of API-first data layers, Collaborate on design of tool-enabled data layers, Integrate with AI agents, Integrate with LLM-based systems", "teamCollaboration" : "Cross-functional teams; AI and data engineering teams", "projectManagementSkills" : [ "Architectural roadmaps" ], "domainKnowledge" : "Agentic AI; Data platforms; Knowledge graph ontologies; Distributed systems; Cloud environments; AI/ML; Agent-based systems; Semantic layers", "domainList" : [ "agentic-ai", "data-platforms", "knowledge-graph-ontologies", "distributed-systems", "cloud-environments", "ai-ml", "agent-based-systems", "semantic-layers" ], "domainSpecificKnowledge" : [ "Agentic AI", "Data platforms", "Knowledge graph ontologies", "Distributed systems", "Cloud environments", "AI/ML", "Agent-based systems", "Semantic layers" ], "communicationSkills" : "Stakeholder management; Consultative mindset", "continuousLearning" : "Continuous technical upskilling", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "10+ years of experience in data engineering, data architecture, or platform engineering, Architecting hybrid data ecosystems using platforms such as Snowflake, Kinetica, NoSQL, and graph databases, Knowledge of knowledge graph design, including RDF or property graph modeling, Designing and optimizing ETL/ELT pipelines, including streaming, batch, and CDC architectures, Understanding of database internals, including indexing strategies, partitioning, scaling, and performance tuning in cloud environments, Building data platforms that support real-time analytics, AI/ML, or agent-based systems, Client-facing experience as a technical lead, including running workshops, gathering requirements, and defining architectural roadmaps, Knowledge of data security principles such as RBAC and row-level security in distributed systems", "qualificationsPreferred" : "Familiarity with semantic layers (e.g., dbt Semantic Layer, Cube)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and lead the end-to-end architecture for a modern data platform supporting Agentic AI, integrating structured, unstructured, and graph-based data systems. Design multi-tenant schemas and knowledge graph ontologies to enable advanced reasoning, contextual understanding, and cross-domain data retrieval for AI agents. Oversee performance, reliability, and security of large-scale data systems including Snowflake and Kinetica, ensuring high availability for mission-critical workloads. Serve as the primary technical advisor for clients, leading discovery workshops and aligning architectural decisions with business and AI strategy goals. Establish performance benchmarks for data latency, retrieval accuracy, and system scalability to support real-time agentic execution. Design and optimize advanced ETL/ELT pipelines, including streaming, batch, and CDC-based data ingestion strategies. Define and enforce database governance, including indexing, partitioning, resource optimization, and cloud-native scaling strategies. Collaborate on the design of API-first and tool-enabled data layers for integration with AI agents and LLM-based systems. Requirements: 10+ years of experience in data engineering, data architecture, or platform engineering roles within enterprise or AI-driven environments. Strong expertise in architecting hybrid data ecosystems using platforms such as Snowflake, Kinetica, NoSQL, and graph databases. Deep knowledge of knowledge graph design, including RDF or property graph modeling for enterprise-scale systems. Proven experience designing and optimizing ETL/ELT pipelines, including streaming, batch, and CDC architectures. Strong understanding of database internals, including indexing strategies, partitioning, scaling, and performance tuning in cloud environments. Experience building data platforms that support real-time analytics, AI/ML, or agent-based systems. Client-facing experience as a technical lead, including running workshops, gathering requirements, and defining architectural roadmaps. Familiarity with semantic layers (e.g., dbt Semantic Layer, Cube) is a strong plus. Knowledge of data security principles such as RBAC and row-level security in distributed systems. Strong communication and stakeholder management skills with a consultative mindset. Benefits: Competitive compensation aligned with experience and market standards. Remote work flexibility within Canada or the US East region. Opportunity to work on cutting-edge Agentic AI and enterprise data platform architectures. Exposure to Fortune 500 clients and large-scale AI transformation initiatives. Access to advanced cloud, AI, and data technologies in a research-driven environment. Strong culture of innovation, learning, and continuous technical upskilling. Collaborative environment working alongside highly skilled AI and data engineering teams. Opportunity to influence next-generation data architectures powering real-world AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Architect Data Engineer. Skills: Data architecture, Agentic AI, Knowledge graphs, Data platforms. Define and lead end-to-end architecture for data platform. Support Agentic AI", "postedDate" : "2026-06-15T08:28:40.031", "createdAt" : "2026-06-15T08:28:40.031", "lastUpdated" : "2026-06-16T10:58:40.875", "ingestTimestamp" : "2026-06-16T03:19:54.295", "mongoId" : "6a305117f292fd229cef95fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Performance tuning", "Data governance", "Knowledge graph design", "ETL/ELT pipeline optimization", "Database internals", "Security principles", "Data architecture", "Agentic AI", "Knowledge graphs", "Data platforms", "System design", "Technical advising", "Stakeholder management", "Architectural roadmaps", "Knowledge graph ontologies", "Distributed systems", "Cloud environments", "AI/ML", "Agent-based systems", "Semantic layers" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ebcf292fd229cf736c6", "title" : "Senior Principal CRM Architect", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline adjusted for executive seniority, senior experience, and the SaaS industry in Munich, Germany." }, "location" : "Munich, Germany", "locations" : [ "Munich", "Germany" ], "timestamp" : "2026-06-16T08:19:50.695", "fingerprint" : "176937fc305561f6f87312adff756dbdecd48149ea7776fe6c9d3f6126ae05e7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000132153974-senior-principal-crm-architect", "externalId" : "744000132153974", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. As a Sr Principal CRM Architect, you will play a vital role in our CRM strategy by supporting our enterprise customers throughout their ServiceNow journey, defining the business value and tailoring end-to-end solution architecture to their specific needs, business model, value chains, and streams. You will collaborate closely with stakeholders to understand their strategic objectives, bring industry best practices for common challenges and use cases, map these to ServiceNow Industry Solutions, and help the customer understand the value of ServiceNow compared to competitors. You will also document and guide the delivery of transformative ServiceNow implementations, leveraging your experience and knowledge of the telecommunications industry. Key Responsibilities: Consult and Advise: Engage with senior VP+ stakeholders to understand their short-term and long-term goals and challenges, providing expert advice both in pre-sales and delivery capability on how ServiceNow can optimize their operations. Solution Design : Design and architect end-to-end solutions using ServiceNow Industry products that align with business requirements and Industry best practices, with strong focus on service management, customer service, automation, and user experience, clearly defining the value of ServiceNow. Process Improvement: Proactively analyze the current state and identify new options for improving ways of working to achieve/exceed business results. Make sense of complex or contradictory information to effectively solve problems. Cross-Functional Collaboration: Work closely with IT, operations, business stakeholders, product, and other external and internal teams to ensure that solutions are aligned with business needs and are implemented effectively. Constantly positioning effective cross-product solutions for the industry. Industry Best Practices: Drive and develop plans for the adoption of Industry Best Practices across ServiceNow products at process, solution architecture and technical leadership in the configuration, customization, and implementation of ServiceNow Industry Solutions. Thought Leadership: Keep up to date on the emerging and latest Industry & competitive trends, the latest ServiceNow capabilities, trends, and best practices, sharing regularly this knowledge with the team and clients. ## Qualifications CRM Transformation Experience: Proven experience leading or contributing to end-to-end CRM transformation initiatives, including assessment of legacy CRM landscapes, definition of target operating models, redesign of customer-facing processes (sales, service, fulfillment), and execution of large-scale CRM platform rollouts. Experience guiding customers through change management, adoption, and value realization in complex, multi-stakeholder CRM programs. Implementation Service Expertise: Proven experience as a Presales Architect, Solution, Platform Architect, or Principal Consultant in competitive solutions, such as e.g., Salesforce, Microsoft, or Pegasystems, with a strong understanding of service management and customer service processes. Consultative Mindset: Strong problem-solving skills with the ability to think strategically and drive complex projects from concept to completion. Stakeholder Management: Excellent communication skills with the ability to engage and influence stakeholders at all levels. Technical Acumen: Understanding of integration, data models, and process automation, with the ability to communicate technical concepts to non-technical audiences. User Experience: Ability to deliver solutions that provide best-in-class user experience with a focus on ease of use, logical process flows, accessibility, and productivity. Analytical Skills: Experience in analyzing business processes, creating workflow diagrams, and documenting requirements in a clear and concise manner. Certifications: Competitive certifications, such as Salesforce certifications (e.g., Service Cloud Consultant) or ServiceNow certifications (e.g., CSA, CIS-CSM), are highly preferred. ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com ](mailto:globaltalentss@servicenow.com)for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.", "summaryDescription" : "Senior Principal CRM Architect at ServiceNow", "postedDate" : "2026-06-15T09:31:30.000", "createdAt" : "2026-06-16T00:02:41.919", "lastUpdated" : "2026-06-16T08:19:50.695", "ingestTimestamp" : "2026-06-16T00:02:41.919", "mongoId" : "6a305ebcf292fd229cf736c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305347f292fd229cf12120", "title" : "Senior Principal CRM Architect", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Principal CRM Architect in Munich, Germany, adjusted for executive seniority and the SaaS industry." }, "location" : "Munich, Germany", "locations" : [ "Munich", "Germany" ], "timestamp" : "2026-06-16T06:43:48.399", "fingerprint" : "822298f4920350349ef9b5d26991437e5087c83a6407287692f86fc1d1257835", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000132153974-senior-principal-crm-architect", "externalId" : "744000132153974", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. As a Sr Principal CRM Architect, you will play a vital role in our CRM strategy by supporting our enterprise customers throughout their ServiceNow journey, defining the business value and tailoring end-to-end solution architecture to their specific needs, business model, value chains, and streams. You will collaborate closely with stakeholders to understand their strategic objectives, bring industry best practices for common challenges and use cases, map these to ServiceNow Industry Solutions, and help the customer understand the value of ServiceNow compared to competitors. You will also document and guide the delivery of transformative ServiceNow implementations, leveraging your experience and knowledge of the telecommunications industry. Key Responsibilities: Consult and Advise: Engage with senior VP+ stakeholders to understand their short-term and long-term goals and challenges, providing expert advice both in pre-sales and delivery capability on how ServiceNow can optimize their operations. Solution Design : Design and architect end-to-end solutions using ServiceNow Industry products that align with business requirements and Industry best practices, with strong focus on service management, customer service, automation, and user experience, clearly defining the value of ServiceNow. Process Improvement: Proactively analyze the current state and identify new options for improving ways of working to achieve/exceed business results. Make sense of complex or contradictory information to effectively solve problems. Cross-Functional Collaboration: Work closely with IT, operations, business stakeholders, product, and other external and internal teams to ensure that solutions are aligned with business needs and are implemented effectively. Constantly positioning effective cross-product solutions for the industry. Industry Best Practices: Drive and develop plans for the adoption of Industry Best Practices across ServiceNow products at process, solution architecture and technical leadership in the configuration, customization, and implementation of ServiceNow Industry Solutions. Thought Leadership: Keep up to date on the emerging and latest Industry & competitive trends, the latest ServiceNow capabilities, trends, and best practices, sharing regularly this knowledge with the team and clients. ## Qualifications CRM Transformation Experience: Proven experience leading or contributing to end-to-end CRM transformation initiatives, including assessment of legacy CRM landscapes, definition of target operating models, redesign of customer-facing processes (sales, service, fulfillment), and execution of large-scale CRM platform rollouts. Experience guiding customers through change management, adoption, and value realization in complex, multi-stakeholder CRM programs. Implementation Service Expertise: Proven experience as a Presales Architect, Solution, Platform Architect, or Principal Consultant in competitive solutions, such as e.g., Salesforce, Microsoft, or Pegasystems, with a strong understanding of service management and customer service processes. Consultative Mindset: Strong problem-solving skills with the ability to think strategically and drive complex projects from concept to completion. Stakeholder Management: Excellent communication skills with the ability to engage and influence stakeholders at all levels. Technical Acumen: Understanding of integration, data models, and process automation, with the ability to communicate technical concepts to non-technical audiences. User Experience: Ability to deliver solutions that provide best-in-class user experience with a focus on ease of use, logical process flows, accessibility, and productivity. Analytical Skills: Experience in analyzing business processes, creating workflow diagrams, and documenting requirements in a clear and concise manner. Certifications: Competitive certifications, such as Salesforce certifications (e.g., Service Cloud Consultant) or ServiceNow certifications (e.g., CSA, CIS-CSM), are highly preferred. ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com ](mailto:globaltalentss@servicenow.com)for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.", "summaryDescription" : "Senior Principal CRM Architect at ServiceNow", "postedDate" : "2026-06-15T09:31:30.000", "createdAt" : "2026-06-15T22:00:31.195", "lastUpdated" : "2026-06-16T06:43:48.399", "ingestTimestamp" : "2026-06-15T22:00:31.195", "mongoId" : "6a305347f292fd229cf12120", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6931903470f0b99d58087a35", "title" : "SAP BTP Integration Architect", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 118200.0, "max" : 204300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dallas, Texas, USA", "locations" : [ "Dallas, Texas, USA" ], "timestamp" : "2026-06-15T01:57:15.431", "fingerprint" : "c773216729c4723c5f68b1f37bbeb2c3b1c8f00a81ba457010311b9df9a56a11", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136885/apply", "externalId" : "e774bce2-650b-4f49-9364-232ddb7c3059", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ABAP, SAP BTP, SAP PI/PO, SAP Data Services, SAP Cloud Integration, Web Services, ESB", "professionalSkills" : [ "Integration solutions design", "Data mapping", "Data transformation", "Data cleansing", "Technical specifications" ], "hardSkillsList" : [ "ABAP programming", "Integration patterns", "Secure communication protocols" ], "hardSkills" : [ { "name" : "ABAP programming", "level" : "intermediate" }, { "name" : "Integration patterns", "level" : "intermediate" }, { "name" : "Secure communication protocols", "level" : "intermediate" } ], "majorSkills" : "SAP Integration, BTP Integration Suite, ABAP", "majorSkillsList" : [ "SAP Integration", "BTP Integration Suite", "ABAP" ], "coreResponsibilities" : "Analyze business requirements, Analyze technical specifications, Design integration solutions, Develop integration solutions, Develop custom interfaces, Develop data conversions, Develop integration solutions using ABAP, Implement integration patterns, Implement integration techniques, Collaborate with functional teams, Collaborate with business users, Collaborate with external system owners, Perform data mapping, Perform data transformation, Perform data cleansing, Develop middle-ware components, Develop message brokers, Develop EAI tools, Implement secure communication protocols, Ensure adherence to security standards, Conduct unit testing, Conduct integration testing, Conduct debugging, Document integration designs, Document interfaces, Document technical specifications, Provide technical support, Troubleshoot integration solutions, Maintain integration solutions", "teamCollaboration" : "Functional teams; Business users; External system owners", "domainKnowledge" : "SAP modules; AP processes; AR processes; Supply Chain processes; FI; MM; SD; LE", "domainList" : [ "sap-modules", "ap-processes", "ar-processes", "supply-chain-processes", "fi", "mm", "sd", "le" ], "domainSpecificKnowledge" : [ "SAP modules", "AP processes", "AR processes", "Supply Chain processes", "FI", "MM", "SD", "LE" ], "toolProficiency" : [ "SAP PI/PO", "SAP Data Services", "SAP Cloud Integration" ], "documentationSkills" : "Document integration designs; Document interfaces; Document technical specifications", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "5+ years applications/infrastructures experience, 5+ years specific technology domain experience, ABAP programming skills, ABAP Objects knowledge, Web Services knowledge, RFC knowledge, SAP integration technologies proficiency, SAP modules understanding, SAP business processes understanding", "qualificationsPreferred" : "AWS technologies experience (dev/ops)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced SAP Integration Developer to join our SAP implementation project team. The successful candidate will be responsible for developing and implementing integration solutions between the SAP system and various in-house systems for Accounts Payable (AP), Accounts Receivable (AR), and Supply Chain processes. Key job responsibilities * Analyze business requirements and technical specifications to design and develop integration solutions between SAP and in-house systems. * Develop custom interfaces, data conversions, and integration solutions using ABAP programming and SAP's integration technologies, such as SAP BTP Integration Suite, SAP Process Integration (PI/PO), SAP Data Services (BODS), or SAP Cloud Integration. * Implement integration patterns and techniques, such as file-based interfaces, message-based interfaces, web services, and enterprise service bus (ESB) concepts. * Collaborate with functional teams, business users, and external system owners to understand data structures, mapping requirements, and integration touch points. * Perform data mapping, transformation, and cleansing activities to ensure seamless data exchange between SAP and in-house systems. * Develop and maintain middle-ware components, message brokers, or enterprise application integration (EAI) tools as required for integration scenarios. * Implement secure communication protocols (e.g., HTTPS, SSL/TLS) and ensure adherence to security standards and best practices. * Conduct unit testing, integration testing, and debugging of custom interfaces and integration solutions. * Document integration designs, interfaces, and technical specifications for future reference and maintenance. * Provide technical support, troubleshooting, and maintenance for the implemented integration solutions. Basic Qualifications: - 5+ years of design, implementation, or consulting in applications and infrastructures experience - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Strong ABAP programming skills and knowledge of ABAP Objects, Web Services, and RFC (Remote Function Call). - Proficiency in SAP's integration technologies, such as SAP Process Integration (PI/PO), SAP Data Services (BODS), or SAP Cloud Integration. - Understanding of SAP modules and business processes related to AP, AR, and Supply Chain (e.g., FI, MM, SD, LE). Preferred Qualifications: - Experience working with AWS technologies from a dev/ops perspective Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "SAP BTP Integration Architect at Amazon.com Services LLC. Skills: SAP Integration, BTP Integration Suite, ABAP. Analyze business requirements. Analyze technical specifications", "postedDate" : "2026-06-13T01:40:58.689", "createdAt" : "2026-06-13T01:40:58.689", "lastUpdated" : "2026-06-15T01:57:15.431", "ingestTimestamp" : "2026-06-13T01:40:58.689", "mongoId" : "6931903470f0b99d58087a35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136885/apply", "salaryAnnualMin" : 118200, "salaryAnnualMax" : 204300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ABAP programming", "Integration patterns", "Secure communication protocols", "SAP Integration", "BTP Integration Suite", "ABAP", "Integration solutions design", "Data mapping", "Data transformation", "Data cleansing", "Technical specifications", "SAP modules", "AP processes", "AR processes", "Supply Chain processes", "FI", "MM", "SD", "LE", "SAP PI/PO", "SAP Data Services", "SAP Cloud Integration" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0dabe558b93c861ea6cf14", "title" : "Data Architect", "company" : "Cronos Europa", "industry" : "Consulting", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Architect in Brussels, Belgium, adjusted for the technology industry and company size." }, "location" : "Brussels, BR", "locations" : [ "Brussels", "BR" ], "timestamp" : "2026-06-15T07:45:18.995", "fingerprint" : "cb0ec8b692c12d0b363c79f1348ebf298a0cdf5d44f8c031d9460ca0dffd0bbf", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://cronoseuropa.breezy.hr/p/cd7dd16621af01-data-architect", "externalId" : "cd7dd16621af01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brussels", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.8467372,4.3524930" } ], "locationText" : "Brussels, Belgium", "employmentType" : "FULL_TIME", "rawDescription" : "About Cronos Europa: Cronos Europa is a leading IT and digital transformation partner dedicated exclusively to European Institutions and agencies, delivering mission‑critical solutions that shape Europe’s digital future. As part of the Cronos Group, one of the most innovative and fastest‑growing te", "summaryDescription" : "Data Architect at Cronos Europa", "createdAt" : "2026-06-13T22:57:42.028", "lastUpdated" : "2026-06-15T07:45:18.995", "ingestTimestamp" : "2026-06-13T22:57:42.028", "mongoId" : "6a0dabe558b93c861ea6cf14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "principal workflow architect servicenow platform integration data jobs", "metadata" : { "title" : "principal workflow architect servicenow platform integration data" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 36227, "totalPages" : 725, "hasNext" : true, "hasPrevious" : false } }

Remote Principal Workflow Architect Servicenow Platform Integration Data Jobs

Top Skills

Principal Data Architect

Data Platform Architect (Snowflake)

Platform Architect

ServiceNow Senior Architect

Principal Architect – Data & AI Solutions

ServiceNow Platform Team Lead

Principal Platform Architect - Federal

Principal Platform Architect - Federal

Data Governance & Data Platform Architect (Manager lead)

Data Governance & Data Platform Architect (Functional Lead)

Principal Data Architect

Senior Enterprise Integration Architect

Sr Platform Architect

Sr Platform Architect

Principal Architect

Creative Workflow Architect (Fluent in Japanese)

Principal Data Architect

Principal Architect

Principal Platform Engineer

Principal Cloud Architect

Principal Cloud Architect

Principal Platform Engineer

Data Architect

Integration Platform Operations Manager

Data Architect

Principal Solutions Architect

Principal Data Platform Engineer

Data Architect

Principal AI Platform Engineer

Data Architect

Senior Architect, Integration & Production

ServiceNow Architect

Data Architect

Manager, AI Platform Architect

Data Architect

Principal SAP Solution Architect

Principal SAP Solution Architect

Revenue Workflow Analyst

ServiceNow Administrator

Data Architect

ADAS Platform Software Architect

Revenue Workflow Analyst

Staff / Principal Forward-Deployed Architect, Data Modernization

Data Architect

Architect Data Engineer

Architect Data Engineer

Senior Principal CRM Architect

Senior Principal CRM Architect

SAP BTP Integration Architect

Data Architect

Related Searches

All Principal Workflow Architect Servicenow Platform Integration Data Jobs by City

More Remote Jobs

Common Questions