Enterprise Data Architect

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:

• Translate business and technical requirements into comprehensive, scalable data architecture solutions.
• 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:

• Strong understanding of Enterprise Architecture (TOGAF, Zachman) and data frameworks (DAMA).
• 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.

• Bachelor’s degree in Information Technology, Computer Science, or a related quantitative discipline.