Key Responsibilities

• Define and execute the enterprise data strategy and architecture roadmap for SK Finance.
• Build, scale, and operate the enterprise data platform on Azure Databricks — Data Lake, PySpark, and SQL at the core.
• Engineer scalable, observable ETL and ELT pipelines across batch and real-time workloads, with documented quality and SLA discipline.
• Enable downstream AI, ML, and analytics use cases through production-grade data pipelines and feature engineering foundations.
• Own data governance, data quality, and platform security through Unity Catalog, with full compliance posture against DPDP, RBI, and internal audit expectations.
• Partner with business, credit, risk, and analytics teams to convert demand into outcome-anchored data products.
• Lead, mentor, and grow the data engineering team into a senior-bench function with structured succession.

Key Requirements

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