VP- Data Platforms – Personal Banking

Key Responsibilities

• Expert in dimensional modeling, including fact/dimension design, conformed dimensions, and handling late-arriving facts.
• Skilled at building Gold layers in Lakehouse architectures.
• Deep understanding of business domain granularity (e.g., Account, Customer, Product, Transaction, Channel, Campaign, etc.).

• Admin-level experience with Unity Catalog:
  • Managing schemas, tables, access controls, and data lineage
  • Tagging and auditing assets
• Proficient in Delta Lake, Databricks SQL (DBSQL), and Spark optimization
• Familiar with performance tuning for Gold-tier architecture: z-ordering, caching, file optimization, and partitioning

• Experience in locking data definitions and enforcing semantic consistency
• Skilled at building and maintaining data dictionaries and business glossaries
• Able to push back against poor ingestion practices from bronze/silver layers
• Experience working with data governance councils or stewards

• Able to implement or integrate lineage tools (native Unity Catalog or third-party like Collibra, Atlan)
• Capable of building transparency pipelines to trace Gold-layer data back to source systems

• Writes high-performance SQL in Databricks
• Experienced in productionizing Gold tables: orchestration, validation, rollback strategies
• Strong debugging skills for joins, deduplication, grain mismatches

• Familiarity with:
  • Core banking products (cards, loans, deposits, etc.)
  • Customer lifecycle metrics and KPIs
  • Regulatory requirements, such as record retention and PII masking
  • Business functions including Products, Sales & Distribution, Portfolio, Marketing, and Digital

Qualifications

Required Experience and Skills

• 10+ years of experience as a Data Architect, Data Modeler, or Data Engineer

Domain Expertise