Microsoft Fabric Engineer

Job Title: Senior Microsoft Fabric Data Engineer

Role Summary

We are seeking an experienced Senior Data Engineer to lead the architecture, development, and optimization of our enterprise data platform on Microsoft Fabric. You will design scalable ingestion pipelines, implement Medallion Lakehouse architectures, and build curated data models to support enterprise business intelligence, advanced analytics, and AI initiatives. This role requires deep hands-on technical expertise combined with strong architectural judgment and cross-functional collaboration skills.

Key Responsibilities

• Platform Architecture & Engineering. Design and implement scalable data platforms utilizing Microsoft Fabric, OneLake, Lakehouse, and Data Warehouse architectures.
• ETL/ELT & Pipeline Development. Build and orchestrate metadata-driven ingestion and transformation pipelines using Fabric Data Factory, Dataflows Gen2, and Spark Notebooks.
• Data Modeling & Medallion Architecture. Implement Bronze, Silver, and Gold Medallion layers alongside dimensional star-schema models to support governed analytics.
• Big Data Processing & Optimization. Write and tune PySpark and T-SQL code for high-volume batch and incremental workloads (CDC, watermarks), optimizing Delta tables (partitioning, liquid clustering, Z-Order, VACUUM) and Fabric capacity utilization.
• BI & Semantic Layer Integration. Develop and optimize Power BI semantic models using Direct Lake and Import modes, implementing Row-Level Security (RLS) and Object-Level Security (OLS).
• DevOps & Data Governance. Manage version control and automated deployments via Git integration and Fabric Deployment Pipelines. Enforce data lineage, cataloging, and security controls using Microsoft Purview and Entra ID.
• Leadership & Collaboration. Partner with data architects, BI developers, and business stakeholders to translate requirements into production-ready solutions while mentoring junior engineers.

• Experience. 5+ years of experience in data engineering, data warehousing, or ETL/ELT development, with 2+ years of hands-on experience delivering production solutions in Microsoft Fabric.
• Microsoft Fabric Ecosystem. Deep proficiency in OneLake, Fabric Lakehouse, Fabric Data Warehouse, Fabric Data Factory, Dataflows Gen2, and Direct Lake.
• Core Programming. Expert-level SQL / T-SQL and strong proficiency in Python / PySpark.
• Data Architecture. Proven experience with Medallion architecture, Kimball dimensional modeling, Slowly Changing Dimensions (SCD), and Delta Lake storage optimization.
• Azure & DevOps Foundations. Solid working knowledge of Azure Data Lake Storage (ADLS Gen2), Azure Key Vault, Azure DevOps or GitHub, and CI/CD best practices.