Job Description
: Lead Microsoft Fabric Data EngineerExperience Level: 8 to 10 Years (specifically 2-3 years in Microsoft Fabric) Role Overview We are looking for a Lead Microsoft Fabric Data Engineer to architect and lead the delivery of enterprise-scale data platforms. This role involves owning end-to-end solution design across Lakehouse, Warehouse, and Real-Time Intelligence. You will be responsible for setting engineering standards, mentoring a pod of data engineers, and partnering with stakeholders to drive Fabric-led modernization programs. This position is ideal for a seasoned expert with deep Azure and Spark/SQL experience. Key Responsibilities Solution Architecture: Lead design for Fabric platforms including Lakehouse, Warehouse, Data Factory, Dataflows Gen2, and Notebooks. Modernization: Drive migration programs from legacy stacks like on-prem DW, Synapse, Databricks, or Informatica to Microsoft Fabric. Platform Governance: Define Medallion architecture standards, OneLake organization, and workspace topology. Team Leadership:



Manage and mentor a pod of 5–10 data engineers, conducting design and code reviews. Hands-on Delivery: Build complex pipelines and semantic models for high-volume, regulated workloads. DevOps & CI/CD: Establish setting strategies and release management using Azure DevOps or GitHub. Performance Optimization: Lead capacity planning, cost optimization, and reliability engineering for Fabric workloads. Governance & Security: Implement data governance via Microsoft Purview (lineage, sensitivity labels, RLS/OLS). Must-Have Skills Experience: 8+ years in data engineering, with 3+ years in a Lead or Architect capacity. Microsoft Fabric: 1–2 years of hands-on experience (OneLake, Data Factory, Notebooks, etc.). Spark & Delta Lake: Expert in PySpark, Spark SQL, and Delta Lake performance tuning. SQL & Architecture: Expert-level SQL and proven experience with Medallion/Lakehouse architectures and dimensional modeling. Azure Ecosystem: Strong

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🏢 Yash Technologies
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