📌 Technical Requirements

▶Design and govern enterprise data architecture blueprints, including data models, integration patterns, APIs, interoperability standards, and cloud components across platforms and systems.

▶Lead the architecture design of Data Lakehouse and analytical platforms, ensuring scalability, reliability, security, and seamless integration with operational and legacy systems.

▶Provide technical leadership in selecting and adopting data management tools, platforms, and cloud technologies that support both current and future data capabilities.

▶Align IT strategy, infrastructure investments, and architectural roadmaps with business objectives, data initiatives, data monetization opportunities, and public private partnership models.

▶Identify architectural risks, constraints, and bottlenecks early, and propose pragmatic design alternatives to ensure resilience, performance, and sustainability.

▶Define, enforce, and oversee architecture standards, principles, and best practices, and facilitate architecture governance reviews while maintaining centralized architectural documentation repositories.

▶Lead and manage the technical integration of new systems and technologies, ensuring compatibility with existing IT, data, security, and governance frameworks, and champion necessary infrastructure upgrades.

▶Evaluate emerging technologies and industry trends, assess their impact on enterprise architecture, and ensure all architectures comply with privacy, security, access control, and regulatory requirements (e.g., UAE PDPL).