VP- Data Platforms - Personal Banking

Company Description

Looking to join the #1 bank in the UAE and one of the most prestigious in the region? We're looking for professionals who are driven, skilled, and ready to take on new challenges. Together, we can achieve our goals, making a lasting impact on both our company and the industry as a whole.

Join us and leave your mark on the industry. Let's work together to achieve great things and unlock new possibilities for our employees, customers, and communities.

Job Description

• Data Modeling & Architecture
• Expert in Dimensional Modeling – fact/ dimension design, conformed dimensions, late-arriving facts
• Expert building Gold layers in Lakehouse architectures
• Understands business domain granularity – e.g. Account, Customer, Product, Transaction, Channel, Campaign, etc.
• Databricks & Unity Catalog
• Unity Catalog admin-level experience:
• Managing schemas, tables, access controls, and lineage
• Tagging and auditing assets
• Proficient in Delta Lake, DBSQL, and Spark optimizatio
• Familiar with Lakehouse gold-tier architecture performance tuning: z-ordering, caching, file sizes, partitioning
• Metadata & Data Governance
• Experience locking data definitions and enforcing semantic consistency
• Build and maintain a data dictionary and business glossary
• Knows how to push back against spaghetti data ingestion from bronze/ silver
• Has worked closely with data governance councils or stewards
• Lineage & Observability
• Able to implement or integrate lineage tools (Unity Catalog native, or third-party like Collibra/ Atlan)
• Can build transparency pipelines that map gold back to source
• Hands-On Build & Optimization
• Writes performance SQL in Databricks SQL
• Experience in productionizing Gold tables: batch orchestration, validation, rollback strategies
• Can debug joins, deduplication, and mismatched grain scenarios quickly
• Banking Domain Experience (strongly preferred)
  
  

Familiarity With

• Core banking products (cards, loans, deposits, etc.)
• Customer lifecycle metrics and KPIs
• Regulatory concerns (e.g. record retention, masking PII, etc.)
• Understands business units like Products, Distribution & Sales, Portfolio, Marketing, Digital, etc.
• Understands business units like Products, Distribution & Sales, Portfolio, Marketing, Digital, etc.
  
  

Qualifications

Required Experience and Skills:

• 10+ years of work experience in Data Architect, Data Modeler, Data Engineer.
  
  

Domain

Tools/ Skills

Lakehouse Engine

Databricks (Delta Lake, DBSWL, Spark)

Governance

Unity Catalog, metadata tagging

Modeling

Star Schema, Dimensional Modeling

Workflow

Airflow/ Workflows in Databricks

Metadata/ Lineage

Unity Lineage, Collibra, Atlan

Coding

SQL (Advanced), PySpark (Intermediate)

Infra/ Access

IAM, token management, workspace admin