Microsoft Fabric Data Engineer

Job Overview:

We are looking for a Senior Microsoft Fabric Data Engineer to serve as a technical anchor and architect for enterprise-scale analytics platforms. This role is responsible for designing end-to-end modernization pathways -helping clients transition seamlessly from legacy warehouses (or platforms like Databricks/Snowflake/Synapse) into a unified Microsoft Fabric ecosystem. You will own platform topology, establish enterprise governance, optimize Fabric capacities, and mentor a pod of engineers to deliver scalable, secure, and AI-ready data footprints.

Key Responsibilities:

• Solution Architecture:
• Architect end-to-end data landscapes using the full Fabric stack: OneLake, Lakehouses, Warehouses, Data Factory, Notebooks, and Real-Time Intelligence (Eventstreams/KQL).
• Proven experience implementing Medallion Architectures and managing unstructured, semi-structured, and structured data footprints.
• Platform Governance & Topology:
• Define tenant-level workspace strategy, Hub-and-Spoke integration patterns, and domain boundaries. Implement data governance, lineage tracking, and classifications via Microsoft Purview.
• Performance Reliability & Cost Tuning:
• Manage and optimize Microsoft Fabric platform performance. Monitor capacity utilization (F-SKUs), optimize query workloads, manage Delta table maintenance (OPTIMIZE / VACUUM), and enforce V-Order/Z-Order sorting to ensure cost-effective operations.
• Enterprise BI & Data Trust:
• Design robust Power BI semantic models utilizing Direct Lake mode to enable real-time reporting without data duplication. Centralize complex, production-grade DAX business logic.
• DevOps & Release Management:
• Establish CI/CD frameworks and environment strategy using Fabric Git integration and Azure DevOps/GitHub release management.
• AI & Advanced Analytics Support:
• Design data pipelines structured to feed downstream machine learning models and modern AI workloads (such as vector databases, semantic search, and RAG frameworks).
• Technical Leadership:
• Mentor junior engineers through design/code reviews, establish reusable engineering frameworks, and assist leadership with effort estimations or Proof-of-Concepts (PoCs).

Technical Requirements:

• Proven Experience: 6+ years in Data Engineering/Architecture, with 1–2 years of dedicated, hands-on production experience in Microsoft Fabric.
• Performance Tuning Expert: Deep understanding of the VertiPaq engine, DAX optimization, and Fabric capacity management (managing compute load across F-SKUs).
• Spark & Delta Lake Expert: Advanced mastery of PySpark, Spark SQL, and optimization techniques for Delta Lake.
• Expert SQL & Integration: Expert-level SQL script writing alongside deep knowledge of REST APIs, data mirroring, and shortcuts for cross-platform data blending.
• Security & Compliance: Practical experience building Row-Level Security (RLS) and Object-Level Security (OLS) frameworks across data and reporting boundaries.
• Preferred Certifications: Microsoft DP-600 (Fabric Analytics Engineer Associate) or DP-700 (Microsoft Fabric Data Engineer Associate) is highly preferred.