About the Job:
Join our team as a Data Platform Lead in Dubai, UAE. This full-time, on-site position involves leading the design and evolution of the IB&M Data Platform, ensuring compliance with data governance frameworks, and acting as a technical authority in data architecture decisions.
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Responsibilities
Data Governance & Control
- Define and implement data governance frameworks covering:
- Data ownership, stewardship, and accountability
- Data quality rules, controls, and monitoring
- Metadata management, data cataloging, and lineage
- Ensure compliance with regulatory, risk, and internal governance requirements across IB&M data assets
- Partner with Risk, Compliance, and Audit teams to support regulatory use cases and thematic reviews
Data Platform Leadership
- Lead the design and evolution of the IB&M Data Platform, aligned with enterprise standards
- Drive governance capabilities across the Lakehouse architecture (ADLS, Databricks, Delta Lake)
- Define platform standards for:
- Data ingestion (batch / micro-batch / streaming)
- Schema enforcement and validation
- Data modeling and standardization
- Secure data access and entitlements
Architecture & Engineering
- Act as a technical authority for data architecture decisions within IB&M
- Review and guide solution designs produced by internal teams and vendors
- Ensure scalability, performance, reliability, and cost efficiency of the platform
- Support hybrid architectures (Cloud + On Prem) where required by business or regulatory constraints
Enablement & Collaboration
- Work closely with Data Engineering, Analytics, BI, AI/ML, and Business teams
- Enable self-service analytics while maintaining strong governance controls
- Provide technical guidance, best practices, and design reviews across IB&M initiatives
- Support onboarding of new use cases onto the GM / IB&M Data Platform
Mandatory Skills
- 10+ years of experience in Data Engineering, Data Platforms, or Data Architecture
- Proven experience leading data governance initiatives in large, regulated environments (Banking / Financial Services preferred)
- Strong background supporting Global Markets / Investment Banking data domains
Technical Skills
- Strong hands-on experience with:
- Azure Data Lake (ADLS)
- Databricks / Delta Lake / Lakehouse architectures
- Data quality, schema enforcement, and validation frameworks
- Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon or similar)
- Solid understanding of:
- Data modeling (analytical and canonical models)
- Metadata management and lineage
- Secure data access and entitlements
- Good understanding of AI/ML and analytics enablement within governed data platforms
Soft Skills
- Strong ownership mindset with ability to work independently
- Excellent stakeholder management and communication skills
- Ability to translate regulatory and business requirements into technical solutions
- Comfortable working in complex, multi-vendor, enterprise environments
Language Requirements: [Not specified]
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