Lead Data Engineer (Microsoft Fabric)

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Job Title: Lead Data Engineer (Microsoft Fabric

)Location: Gurugram, India

Role Overvi

ewWe are seeking a high-caliber Lead Data Engineer with a decade of experience to spearhead our transition into the Microsoft Fabric ecosystem. You will be responsible for designing and implementing end-to-end data solutions, leveraging OneLake, Lakehouses, and Warehouse architectures. As a Lead, you will provide technical governance, mentor junior engineers, and ensure our data platform is scalable, secure, and optimized for real-time analytic

s.
Key Responsibilit

• iesArchitecture & Design: Design and build modern data architectures using Medallion Architecture (Bronze/Silver/Gold) within Microsoft Fabr
• ic.Data Engineering: Develop complex data pipelines using Data Factory (Dataflows Gen2) and Fabric Notebooks (PySpar
• k).Semantic Modeling: Build and optimize high-performance Semantic Models and implement Direct Lake connectivity for seamless Power BI integrati
• on.Governance & Security: Implement workspace-level security, OneLake shortcuts, and manage capacity settings to ensure cost-efficient performan
• ce.DataOps & CI/CD: Lead the integration of Fabric workspaces with Git (Azure DevOps/GitHub) and manage deployment pipelin
• es.Leadership: Act as the subject matter expert (SME) for Microsoft Fabric, providing technical guidance to stakeholders and mentoring a team of data enginee

rs.
Technical Qualificat

• ionsCore Experience: 10+ years in Data Engineering, with a heavy focus on the Microsoft Azure Data Stack (ADF, Synapse, Databricks, SQL
• DW).Fabric Expertise: Hands-on experience with OneLake, Lakehouse, Data Warehouse, and KQL Databa
• ses.Advanced Querying: Expert-level proficiency in T-SQL, PySpark, and
• DAX.Modeling Mastery: Proven experience in Star Schema design and dimensional model
• ing.Certification: Mandatory DP-700 Certification. Other certifications like DP-203 (Azure Data Engineer) are a significant p

lus.
Preferred Soft S

• killsStrategic Thinking: Ability to map business requirements to technical architec
• ture.Communication: Excellent verbal and written skills to interact with global stakehol
• ders.Problem-Solving: A proactive approach to troubleshooting performance bottlenecks in a SaaS environ