Platform Engineer
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Key skills for this role
About the Role
Adecco is seeking a Senior Engineer – Data Governance & Platform Lead for IB&M in Abu Dhabi. This hands-on technical role involves defining and implementing data governance frameworks, leading the IB&M Data Platform, and ensuring data quality, lineage, and security.
Key Skills for This Role
Responsibilities
- Define and implement data governance frameworks covering data ownership, stewardship, quality, metadata management, and lineage
- Ensure compliance with regulatory, risk, and internal governance requirements across IB&M data assets
- Lead the design and evolution of the IB&M Data Platform aligned with enterprise standards
- Drive governance capabilities across Lakehouse architecture (ADLS, Databricks, Delta Lake)
- Define platform standards for data ingestion, schema enforcement, data modeling, and secure data access
- Act as technical authority for data architecture decisions within IB&M
- Review and guide solution designs produced by internal teams and vendors
- Enable self service analytics while maintaining strong governance controls
Requirements
- 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 hands on experience with Azure Data Lake (ADLS), Databricks/Delta Lake/Lakehouse architectures
- Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon)
- Solid understanding of data modeling, metadata management, lineage, and secure data access
- Good understanding of AI/ML and analytics enablement within governed data platforms
Full Job Posting
Role Overview
- The Senior Engineer – Data Governance & Platform Lead (IB&M) is a hands on senior technical role.
- Responsible for defining, implementing, and governing the IB&M Data Platform with focus on data governance, quality, lineage, security, and platform standards.
- Works closely with Global Markets, Investment Banking, Risk, Compliance, and Analytics teams.
Key Responsibilities – Data Governance & Control
- Define and implement data governance frameworks covering data ownership, stewardship, and accountability.
- Define and implement data quality rules, controls, and monitoring.
- Define and implement 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.
Key Responsibilities – 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, and secure data access and entitlements.
Key Responsibilities – 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.
Key Responsibilities – 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.
Required Experience & Skills – Experience
- 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 is highly desirable.
Required Experience & Skills – Technical Skills
- Strong hands on experience with Azure Data Lake (ADLS), Databricks/Delta Lake/Lakehouse architectures.
- Experience with 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, and secure data access and entitlements.
- Good understanding of AI/ML and analytics enablement within governed data platforms.
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