Data Architect - Governance & Security

This is an onsite role based in Saudi Arabia. The ideal candidate should have proven experience in gathering business requirements and translating them into robust, enterprise-wide data architecture solutions covering Data Governance, Security (Access Management), Data Lineage, and Compliance. The role demands hands-on expertise in designing and developing data products, with the ability to architect across multiple platforms (cloud, on-premises, and hybrid). Strong communication and stakeholder management skills are essential for effective collaboration with both business and technical teams.

The incumbent must have :

- Proven experience in gathering business requirements and architecting end-to-end data solutions.

- Hands-on solutioning covering Data Governance, Security (Access Management), Data Lineage & Compliance.

- Demonstrated experience in designing/developing Data Products.

- Strong communication skills and ability to articulate architecture decisions to both business and technical stakeholders.

- Ability to architect across multiple platforms (cloud/on-premises/hybrid).

Responsibilities :

- Architect data solutions aligned with Enterprise Architecture frameworks (TOGAF, Zachman) and data management practices (DAMA).

- Collaborate with cross-functional EA workgroups to ensure alignment with business, application, and technology architectures.

- Develop logical and conceptual data models and extend them for enterprise-wide use.

- Define and implement data governance, stewardship, and frameworks for managing enterprise data.

- Provide strategies for transactional and analytical systems to effectively share and consume data.

- Evaluate and recommend emerging technologies, reference models, and best practices, preferably within the health insurance industry.

- Establish and promote Data Quality and Master Data Management (MDM) best practices.

- Develop and maintain future-state architectures and transition roadmaps.

Skills & Competencies :

- Experience with big data technologies or large-scale data warehousing initiatives.

- Working knowledge of IT governance frameworks, methodologies, and modeling techniques.

- Expertise in data technologies, integration patterns, and technical operations.

- Ability to design secure, compliant, and scalable solutions across platforms.

- Bachelors degree in Information Technology, Computer Science, or a related quantitative discipline.