Are you a visionary cloud data architect ready to shape the future of enterprise analytics? We’re seeking a passionate Lead Engineer – Azure Databricks to join our high-impact Business Analytics/BI team as a senior technical leader. This is a career-defining opportunity to architect scalable, secure, and high-performance cloud data platforms that power reporting, advanced analytics, and AI/ML innovation across the organization.In this strategic role, you will own the end-to-end cloud data architecture strategy, drive our analytics modernization journey, and lead the migration of legacy Enterprise Data Warehouses to a modern Azure Databricks Lakehouse ecosystem. You’ll partner closely with IT leadership, business stakeholders, and analytics teams to deliver best-in-class, governed data solutions that accelerate insights and business value.Exp: 9 to 13 yearsLocation: GurugramShift: 2-11pmKey ResponsibilitiesDesign and govern enterprise-scale cloud data platforms (data lakes, Lakehouse, and cloud data warehouses) supporting BI/EDW, analytics, and AI/ML workloadsArchitect and implement Databricks Lakehouse solutions using Delta Lake and Medallion (Bronze/Silver/Gold) patternsLead the full lifecycle of legacy EDW migration to Azure, including phased strategies, data refactoring, and seamless integration with enterprise systemsEstablish architecture standards, best practices, CI/CD pipelines, and data governance frameworks (Unity Catalog, RBAC, encryption)Provide day-to-day technical leadership, mentoring, and prioritization to a team of data engineers and vendor partnersDeliver high-performance batch and real-time ingestion pipelines using PySpark, SQL, Databricks Workflows, Delta Live Tables, and Structured StreamingOptimize cost, performance, and reliability while enabling self-service analytics and trusted data products for BI teamsWhat You’ll Bring10+ years designing and delivering enterprise data & analytics platforms, with proven hands-on expertise in Azure Databricks, Delta Lake, and Lakehouse architecturesAdvanced proficiency in SQL, Python, PySpark, Spark SQL, and modern cloud data servicesStrong experience modernizing legacy EDW environments and building governed, scalable data platformsDemonstrated leadership in architecture reviews, design discussions, and guiding cross-functional teamsSolid understanding of data governance, security, compliance, and quality frameworksBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related fieldExperience with SAP ERP analytics integration (S/4HANA or ECC) is a strong asset; familiarity with Power BI/Tableau and Microsoft Fabric is a plusBonus: Exposure to AI/ML-ready data platforms or Agentic AI concepts
Job Title
Data Architect