Exadel
Technology
SolutionDataArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Solution Data Architect at Exadel. Skills: Data Architecture, Cloud Data Platforms, Data Governance, Platform Evaluation. Assess source systems. Assess data flows”
Industry & Context.
Assess fragmented landscapes
What They're Looking For.
Must Have
Enterprise data architecture background, Cloud data platforms background, Client-facing communication skills
Nice to Have
Manufacturing experience, Logistics experience, Supply chain experience, Finance experience, Multi-site enterprise experience, ERP integration experience, CRM integration experience, MES integration experience, Reporting systems integration experience, Operational systems integration experience, AI readiness experience, ML/AI platforms experience, GenAI enablement experience, Data products experience, English Upper-Intermediate
What You'll Do.
Assess source systems
Assess reporting flows
Assess architectural constraints
Identify data fragmentation
Identify architecture gaps
Identify platform risks
Identify key dependencies
Define target-state data architecture
Define North Star data platform architecture
Evaluate platform options
Recommend platform direction
Recommend toolchain direction
Define integration patterns
Define data movement principles
Define data platform building blocks
Support AI readiness assessment
Provide input into data governance
Provide input into data access
Provide input into data security
Provide input into data compliance
Assess technical feasibility
Support Phase 2 roadmap
Support implementation sequencing
Support high-level sizing
How You'll Work.
Communication Scope
Client-facing communication
Full Job Description
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. What You’ll Do Assess current source systems, data flows, integrations, reporting flows, and architectural constraints Identify data fragmentation, architecture gaps, platform risks, and key dependencies Define the target-state / North Star data platform architecture Evaluate platform options such as Azure, Microsoft Fabric, Databricks, AWS, or comparable technologies Recommend platform and toolchain direction based on business value, technical fit, cost, scalability, EU data residency, and operational feasibility Define integration patterns, data movement principles, and data platform building blocks Support AI readiness assessment from an architecture and data foundation perspective Provide input into data governance, access, security, and compliance principles Assess technical feasibility of prioritized use cases Support Phase 2 roadmap, implementation sequencing, and high-level sizing What You Bring Strong background in enterprise data architecture and cloud data platforms Experience with Azure, Databricks, Microsoft Fabric, AWS, or similar ecosystems Experience designing data lakes, warehouses, lakehouses, integration layers, and analytics platforms Strong understanding of data governance, security, access management, and compliance considerations Ability to assess fragmented enterprise landscapes quickly Strong client-facing communication skills Nice to Have Manufacturing, logistics, supply chain, finance, or multi-site enterprise experience ERP, CRM, MES, reporting, or operational systems integration experience Experience with AI readiness, ML/AI platforms,
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