Azure Data Engineer

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 14 years
Location: Gurugram
Shift: 2-11pm
Key Responsibilities
Design and govern enterprise-scale cloud data platforms (data lakes, Lakehouse, and cloud data warehouses) supporting BI/EDW, analytics, and AI/ML workloads
Architect and implement Databricks Lakehouse solutions using Delta Lake and Medallion (Bronze/Silver/Gold) patterns
Lead the full lifecycle of legacy EDW migration to Azure, including phased strategies, data refactoring, and seamless integration with enterprise systems
Establish 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 partners
Deliver high-performance batch and real-time ingestion pipelines using PySpark, SQL, Databricks Workflows, Delta Live Tables, and Structured Streamng
Optimize cost, performance, and reliability while enabling self-service analytics and trusted data products for BI teams
What You’ll Bring
9+ years designing and delivering enterprise data & analytics platforms, with proven hands-on expertise in Azure Databricks, Delta Lake, and Lakehouse architectures
Advanced proficiency in SQL, Python, PySpark, Spark SQL, and modern cloud data serices
Strong experience modernizing legacy EDW environments and building governed, scalable data platforms
Demonstrated leadership in architecture reviews, design discussions, and guiding cross-functional teams
Solid understanding of data governance, security, compliance, and quality frameworks
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
Experience with SAP ERP analytics integration (S/4HANA or ECC) is a strong asset; familiarity with Power BI/Tableau and Microsoft Fabric is a plus
Bonus: Exposure to AI/ML-ready data platforms or Agentic AI concepts

Work arrangement
No