VP of Data Engineering - Sumitomo Mitsui Banking Corporation
Core
Define and own the strategic roadmap for enterprise data engineering frameworks supporting the bank-wide Data Lakehouse platform.
Role type
VP of Data Engineering (Enterprise Platform Strategy)
Builds
Enterprise-scale reusable frameworks for data ingestion, transformation, serving, orchestration, data quality, reconciliation, and observability on a Data Lakehouse.
Domain
Banking / Financial Services / Data Engineering
Deliverable
production ML models
Required skills
Enterprise data engineering, Data Lakehouse architecture, Databricks (Delta Lake, Spark, Unity Catalog), metadata-driven development, data quality frameworks, reconciliation frameworks, CI/CD, Infrastructure-as-Code, Python, SQL, Spark, PySpark, Git, distributed processing, workload management, platform engineering.
Preferred skills
Banking and financial services experience (Risk, Finance, Treasury, Regulatory Reporting), self-service analytics, semantic layers, Power BI integration, data product architectures.
Responsibilities
Define strategic roadmap for enterprise data engineering frameworks; Lead design and lifecycle management of reusable frameworks; Establish enterprise standards for metadata-driven development; Develop standardized ingestion and transformation capabilities; Build scalable data serving frameworks; Lead engineering of metadata management and security capabilities; Drive adoption of Databricks Lakehouse capabilities; Partner with Data Design teams; Improve engineering productivity through automation; Build and lead high-performing regional and offshore engineering teams.
Seniority
Executive (VP), Strategy & Mentorship
