Vice President/Director, Data Framework Engineering - SMBC
Core
Define and own the strategic roadmap for enterprise data engineering frameworks supporting the bank-wide Data Lakehouse platform.
Role type
VP/Director, Data Framework Engineering
Builds
Reusable frameworks for data ingestion, transformation, serving, orchestration, data quality, reconciliation, and observability on a Data Lakehouse platform.
Domain
Banking / Financial Services / Data Engineering
Deliverable
production ML models
Required skills
Enterprise data framework design, Metadata-driven development, Data Lakehouse architecture, Distributed processing (Spark), CI/CD, Infrastructure-as-Code, Python, SQL, Data quality & reconciliation, Team leadership
Preferred skills
Banking domain expertise (Risk, Finance, Regulatory), Unity Catalog, Collibra, Power BI, AI/ML consumption patterns
Technologies
Databricks, Delta Lake, Spark, Unity Catalog, Python, SQL, Git, Power BI, Collibra
Responsibilities
Define strategic roadmap for enterprise data engineering frameworks; Lead design and lifecycle management of reusable frameworks; Establish enterprise standards for metadata-driven development; Build scalable ingestion and transformation capabilities; Drive adoption of Databricks Lakehouse capabilities; Build and lead high-performing engineering teams
Seniority
VP/Director, Strategy & Mentorship