Enterprise Data Architect

The Enterprise Data Solution Architect will define and lead the organization’s enterprise-wide data strategy and architecture, with a strong focus on Microsoft Fabric. This role is responsible for designing, governing, and modernizing data platforms to enable analytics, AI/ML, and BI across the enterprise. The ideal candidate brings hands‑on Microsoft Fabric architect-level expertise combined with strong stakeholder engagement and governance leadership in regulated environments.

Responsibilities

• Own and drive the enterprise data architecture roadmap, aligned with business and digital transformation goals.
• Design and architect Microsoft Fabric-based data platforms, including OneLake, Lakehouse, Warehouse, Real‑Time Analytics, and Semantic Models.
• Lead the transition from legacy data warehouses and BI platforms to Microsoft Fabric and modern lakehouse architectures (Medallion pattern).
• Define and govern conceptual, logical, and physical data models across enterprise data domains.
• Ensure data platforms support enterprise analytics, Power BI, AI/ML, and real‑time use cases.
• Architect secure, scalable, and cost‑efficient cloud‑native data solutions on Azure, leveraging Fabric‑native capabilities.
• Embed data governance, lineage, metadata, and quality controls using Microsoft Purview and Fabric governance features.
• Define access control, security, and data privacy models aligned with enterprise and regulatory requirements (e.g., BCBS 239, GDPR).
• Partner with business, compliance, and technology stakeholders to deliver end‑to‑end data solutions.
• Provide architectural oversight, standards, and guidance to data engineering and analytics teams.
• Evaluate emerging Microsoft and cloud data technologies and recommend best‑fit solutions.
• Mentor teams on Microsoft Fabric best practices, architecture patterns, and governance models.

Requirements

• Proven hands‑on experience designing and implementing Microsoft Fabric solutions (OneLake, Lakehouse, Warehouse, Power BI, Data Engineering, Real‑Time Analytics).
• 12+ years of experience in Data Architecture, Data Engineering, or Enterprise Architecture roles.
• Strong expertise in Azure data services and modern data platform design.
• Deep understanding of lakehouse architecture, medallion pattern, and enterprise data modeling.
• Proven experience in data migration and modernization from legacy DWH/BI platforms to Fabric or Azure‑based platforms.
• Strong knowledge of data governance, lineage, metadata, and data quality frameworks.
• Ability to design secure, compliant enterprise data platforms in regulated environments.
• Excellent communication skills with demonstrated experience engaging senior stakeholders.