Lead, Data Architecture

About the role

TAQA Distribution, a subsidiary of TAQA Group that distributes electricity and water across Abu Dhabi, Al Ain and Al Dhafra, is hiring a Lead, Data Architecture professional. The role leads the design, development and governance of the enterprise data architecture, covering data integration, lakehouse, data warehouse, master data and analytics, and acts as the senior data architecture authority.

Key responsibilities

• Define, document and maintain data architecture principles, standards, guidelines, runbooks and best practices.
• Design conceptual, logical and physical data models and scalable data integration, storage, access and processing architectures.
• Lead the design and implementation of data lakehouse, data warehouse, master data management and analytics architectures.
• Drive hands-on architecture design using Azure Databricks as a core data platform, including ingestion, transformation, integration, storage and consumption patterns.
• Evaluate and recommend databases, data platforms and emerging technologies, and collaborate with IT security teams on data privacy and access controls.
• Ensure compliance with data governance policies and regulations, and conduct architectural reviews and impact assessments.
• Maintain architecture roadmaps, reference architectures and design documents, and mentor data architects and engineers.

Required profile

• Technical degree in IT, Computer Science or an equivalent discipline; B.Tech in Computer Science preferred.
• Proven hands-on experience in enterprise data architecture and Azure Databricks.
• Deep understanding of conceptual, logical and physical data modelling.
• Experience designing data integration, lakehouse/warehouse, master data and analytics architectures.
• Mandatory Power & Utilities (P&U) industry experience.
• A hands-on technical data architect, not a project manager focused mainly on coordination and reporting.

Required skills

• Azure Databricks (mandatory)
• Data modelling and data architecture design
• Data integration, lakehouse and data warehouse architecture
• Data governance, security, metadata, data quality and data lifecycle management (desired)