Job Description & How to Apply Below
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 15 yea
rs
Location:
Gurugr
am
Shift: 2-11
pm
Key Responsibilit
- ies Design and govern enterprise-scale cloud data platforms (data lakes, Lakehouse, and cloud data warehouses) supporting BI/EDW, analytics, and AI/ML worklo
- ads Architect and implement Databricks Lakehouse solutions using Delta Lake and Medallion (Bronze/Silver/Gold) patte
- rnsLead the full lifecycle of legacy EDW migration to Azure, including phased strategies, data refactoring, and seamless integration with enterprise syst
- ems Establish architecture standards, best practices, CI/CD pipelines, and data governance frameworks (Unity Catalog, RBAC, encrypti
- on)
Provide day-to-day technical leadership, mentoring, and prioritization to a team of data engineers and vendor partn
- ers Deliver high-performance batch and real-time ingestion pipelines using PySpark, SQL, Databricks Workflows, Delta Live Tables, and Structured Stream
- ing Optimize cost, performance, and reliability while enabling self-service analytics and trusted data products for BI te
ams
What You’ll B
- ring
10+ years designing and delivering enterprise data & analytics platforms, with proven hands-on expertise in Azure Databricks, Delta Lake, and Lakehouse architect
- ures Advanced proficiency in SQL, Python, PySpark, Spark SQL, and modern cloud data serv
- ices Strong experience modernizing legacy EDW environments and building governed, scalable data platf
- orms Demonstrated leadership in architecture reviews, design discussions, and guiding cross-functional t
- eams Solid understanding of data governance, security, compliance, and quality framew
- orks Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related f
- ield
Experience with SAP ERP analytics integration (S/4
HANA 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 conc
epts
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