Data Architect Dicetek LLC

Develop, maintain, and evolve the enterprise data and technology architecture frameworks aligned with the organization's data strategy, digital health transformation, and long term organizational objectives.

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

Lead the architecture design of the organization's 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.

Serve as a liaison between IT infrastructure teams, the Data & Excellence Office (DEO), and business stakeholders to ensure alignment, clear communication, and coordinated delivery.

Align IT strategy, infrastructure investments, and architectural roadmaps with the organnisation’s 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).

Undertake all duties and responsibilities reasonably required and aligned with the data management & governance.