Senior Data Engineer

We're looking for a Senior Data Engineer with deep expertise in Microsoft Fabric and Azure Data Engineering to design and deliver enterprise-grade lakehouse solutions. You'll architect scalable data platforms that power analytics and decision-making across domains such as retail, financial services, FMCG, and utilities, working closely with business stakeholders to translate complex requirements into robust data architectures. Responsibilities Design, build, and maintain enterprise-scale lakehouse architectures using Microsoft Fabric Architect end-to-end data engineering solutions on Azure, including ingestion, transformation, storage, and serving layers Build and optimize data pipelines using Fabric Data Factory, Dataflows, and Notebooks (Spark) Design and manage OneLake, Lakehouse, and Warehouse artifacts within Microsoft Fabric Develop scalable ETL/ELT pipelines integrating structured and unstructured data from diverse enterprise sources Implement data modeling best practices (dimensional modeling, medallion architecture — bronze/silver/gold layers) Collaborate with business and analytics teams across retail, financial services, FMCG, and utilities to understand domain-specific data needs Ensure data quality, governance, security, and compliance across the platform (row-level security, sensitivity labels, Purview integration) Optimize pipeline performance, cost, and reliability for large-scale enterprise datasets Partner with architects and stakeholders to define data platform strategy and roadmap Mentor junior data engineers and contribute to engineering best practices and standards Support migration of legacy data warehouse/ETL solutions to modern lakehouse architecture on Azure/Fabric Requirements 7–10 years of experience in data engineering and analytics, with significant hands-on experience in Azure Data Engineering Strong, demonstrable expertise in Microsoft Fabric — Lakehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake, Power BI integration Deep understanding of lakehouse architecture and medallion (bronze/silver/gold) design patterns Proficiency with Azure data services: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS Gen2 Strong SQL and Spark (PySpark/Scala) skills for large-scale data transformation Experience delivering enterprise-grade data solutions in one or more of: retail, financial services, FMCG, or utilities Solid understanding of data governance, security, and compliance frameworks (Microsoft Purview, RBAC, data masking) Experience with CI/CD for data pipelines (Azure DevOps, Git-based deployment) Strong grasp of data modeling techniques (star schema, slowly changing dimensions, etc.) Excellent stakeholder management and communication skills, with experience working directly with business and analytics teams Ability to translate ambiguous business requirements into scalable technical solutions Nice to Have Microsoft certifications (e.g., DP-600 Fabric Analytics Engineer, DP-203 Azure Data Engineer) Experience with Power BI semantic models and direct lake mode Exposure to Azure Purview for data cataloging and lineage Experience with real-time data processing (Event Streams in Fabric, Azure Event Hubs) Prior consulting or client-facing experience delivering solutions across multiple industry domains