Guidehouse
Cloud&DataPlatformArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Cloud & Data Platform Architect at Guidehouse. Skills: Cloud architecture, Data platforms, Lakehouse design, DataOps. Define and maintain cloud modernization architecture standards. Architect scalable lakehouse data platforms”
What They're Looking For.
Must Have
8–11 years of experience in data engineering and cloud platform architecture, 3+ years designing and governing enterprise-grade cloud data platforms, Azure or AWS data ecosystems and lakehouse architectures, Designing ingestion frameworks using ELT/CDC patterns, Expert Data Modelling skills, Secure cloud architecture principles, Implementing CI/CD pipelines and infrastructure-as-code, Defining operational metrics and monitoring strategies, Ability to lead architectural discussions, Bachelor’s degree in computer science, engineering, or related discipline
Nice to Have
Experience supporting life sciences or other regulated industry data ecosystems, Familiarity with syndicated US pharma commercial datasets, Familiarity with CRM integrations, Familiarity with specialty pharmacy/HUB data flows, Experience with real-time streaming architectures, Experience implementing data governance tools, Databricks or Snowflake cloud or data platform certifications
What You'll Do.
Define and maintain cloud modernization architecture standards
Architect scalable lakehouse data platforms
Design ingestion and integration patterns
Establish enterprise-grade DataOps practices
Define data quality frameworks
Optimize platform performance
Define and enforce operational standards
Collaborate with Enterprise Solution Architect on cross-system integration
Partner with Functional Architect to ensure business definitions
Mentor data engineers
Provide architectural oversight across multiple delivery workstreams
Develop reusable platform accelerators
Develop reference architectures
Develop ingestion templates
Develop governance playbooks
How You'll Work.
Team & Collaboration
Cross-system integration patterns; Guide distributed engineering teams
Full Job Description
**_Job Family_ :** Data Science & Analysis (India) **_Travel Required_ :** None ** _Clearance Required_ :** None **Position Summary:** The Cloud & Data Platform Architect, Life Sciences Technology, is responsible for defining and governing the secure, scalable data platform foundations that enable analytics, AI, and digital solutions across commercial, market access, patient services, and medical affairs functions. This role owns cloud modernization architecture, lakehouse design, ingestion frameworks, data governance alignment, and DataOps standards required to operationalize life sciences data in regulated environments. The architect ensures platforms are secure, resilient, cost-efficient, and production-ready — providing a reliable foundation for downstream analytics, GenAI applications, and enterprise integrations. This role balances hands-on technical design with architectural governance, ensuring consistent standards and repeatable patterns across engagements. **_What You Will Do_ :** * Define and maintain cloud modernization architecture standards, guiding principles, including network design, IAM/RBAC models, encryption, key management, logging, and audit controls. * Architect scalable lakehouse data platforms with medallion architecture principles (raw → curated → consumable layers) optimized for analytics and AI workloads. * Design ingestion and integration patterns supporting batch, streaming, and change data capture (CDC) across structured and semi-structured datasets. * Establish enterprise-grade DataOps practices, including CI/CD for pipelines, infrastructure-as-code standards, automated testing, environment promotion strategies, and release governance. * Define data quality frameworks, validation rules, reconciliation controls, and lineage standards to ensure trust and auditability. * Optimize platform performance, cost management, scalability, and reliability across cloud environments. * Define and enforce operational standards, including monitoring,
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