Data Architect

22 hours ago

Delhi, Delhi, India Praxis Consultants Full time

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 :

- 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 & 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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