
Data Architect
3 weeks ago
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 :
- 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 & 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.
- Bachelors degree in Information Technology, Computer Science, or a related quantitative discipline.
(ref:hirist.tech)-
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