Lead, Data Architecture

Job Summary

Lead the design, development, and governance of TAQA Distribution’s enterprise data architecture, ensuring alignment with business objectives, data governance policies, and IT strategy. Drive the development of scalable, secure, and high-performance data solutions across data integration, lakehouse, data warehouse, master data, and analytics environments. Act as the senior data architecture authority, defining architectural principles, standards, and roadmaps to support data-driven decision-making and digital transformation.

Responsibilities

• Lead the design, development, and maintenance of enterprise data architecture aligned with business requirements, IT strategy, and data governance policies.
• Define, document, and maintain data architecture principles, standards, guidelines, runbooks, and architectural best practices.
• Develop conceptual, logical, and physical data models to support enterprise data requirements and business processes.
• Design and govern scalable data integration, data movement, 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 and solution development using Azure Databricks as a core data platform.
• Define architectural patterns and standards for data ingestion, transformation, integration, storage, and consumption across enterprise systems.
• Evaluate and recommend database management systems, data platforms, and emerging technologies to enhance enterprise data capabilities.
• Ensure data architecture solutions deliver scalability, high availability, performance, reliability, and security.
• Collaborate with IT security teams to establish data privacy, access controls, protection mechanisms, and security standards across data platforms.
• Ensure compliance with enterprise data governance policies, applicable regulations, and organizational standards.
• Conduct architectural reviews, impact assessments, and design evaluations to identify risks, dependencies, and opportunities for improvement.
• Establish data architecture standards and review solution designs across multiple initiatives to ensure consistency and alignment with enterprise architecture.
• Develop and maintain data architecture roadmaps, reference architectures, design documents, and implementation guidelines.
• Collaborate with business stakeholders, data engineering, analytics, IT, and enterprise architecture teams to translate business requirements into effective data solutions.
• Lead initiatives to modernize data architecture, improve data accessibility, and support advanced analytics and digital transformation.
• Provide architectural guidance on data quality, metadata management, master data, data lineage, and data lifecycle management.
• Mentor data architects, data engineers, and related IT professionals on architectural principles, design practices, and emerging technologies.
• Conduct technical workshops and knowledge-sharing sessions to strengthen organizational data architecture capabilities.
• Monitor industry trends and recommend innovative solutions to improve data platform performance, scalability, and business value.
• Prepare architectural assessments, progress reports, recommendations, and management updates to support strategic decision-making.

Key Criteria

• Azure Databricks is Mandatory: Proven hands‑on experience designing data architecture solutions using the Azure Databricks platform.
• Enterprise Data Architecture: Deep practical expertise in conceptual, logical, and physical data modelling, architecture design, and technical documentation.
• Data Architecture Principles & Documentation: Experience defining and documenting architectural principles, standards, runbooks,…