Data Engineer

• Architect Microsoft Fabric environments: Design end-to-end data architectures, defining ingestion, transformation, and curation patterns that support analytics and AI workloads.
• Design and manage data lake architectures: Ensure efficient replication, synchronization, and data flow across Fabric workspaces and multi-zone environments.
• Framework alignment: Ensure all data architectures align with Microsoft’s Cloud Adoption Framework (CAF) and the Azure Well-Architected Framework to maintain consistency, scalability, and governance across solutions.
• Define business-aligned data models: Partner with stakeholders to understand reporting, analytics, and AI needs and design scalable, flexible data models.
• AI readiness: Define structures, metadata, and access patterns that make data discoverable and usable for AI workloads such as retrieval-augmented generation (RAG), intelligent search, and summarization.
• Data governance and security: Collaborate with peers to implement encryption at rest and in transit, role-based access controls (RBAC), and data masking that meet enterprise and client expectations for data integrity and privacy.
• Performance and cost optimization: Guide architecture decisions related to Fabric SKUs, OneLake storage, and data refresh strategies for efficient scale and cost.
• Collaboration and mentorship: Work closely with Data Engineers to translate architecture into delivery, promote data quality, and ensure design consistency.
• Documentation and enablement: Produce reference architectures, blueprints, and reusable standards that accelerate future projects and maintain governance consistency.

Data Architect – Microsoft Azure, Microsoft Fabric

Data Engineer

Senior Data Engineer

Junior Data Engineer

Data Engineer, Databricks