Senior Data Architect - Saudi National

Job Summary

We are hiring for a well-known governmental entity in the Riyadh region. The Senior Data Architect is responsible for designing and maintaining enterprise-wide data architecture strategies, ensuring data integrity, governance, and integration across various systems. The role involves collaborating with business and technical stakeholders to define data models, standards, and roadmaps that support organizational objectives and digital transformation.

Job Responsibilities

• Develop and enhance the enterprise-wide data strategy to support corporate goals.
• Ensure the data architecture roadmap aligns with business and technology strategies.
• Build and maintain enterprise data architecture artifacts such as ER models, data dictionaries, and taxonomies.
• Translate business requirements into data specifications including data streams, integrations, transformations, and warehouses.
• Define data shared across the enterprise and establish relationships between data entities.
• Support third-party data suppliers in developing specifications aligned with enterprise data architecture.
• Provide technical oversight during solution delivery to ensure compliance with data governance and architecture standards.
• Embed data security principles and ensure appropriate data protection practices.
• Participate in the development of data governance practices and influence adoption of data standards.
• Lead initiatives to enhance data quality, integrity, and traceability across systems.
• Review and analyze structural requirements for new software and applications.
• Provide operational support for database teams and collaborate across IT functions.
  
  

Job Requirements

• Saudi National
• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Years of Experience: Minimum of 6 years of experience in IT, with at least 3 years in data architecture or enterprise architecture roles.
• Professional certification in Data Architecture or Data Management (e.g., CDMP, TOGAF)
• Hands-on experience with data integration tools (e.g., Google Apigee, IBM ESB, IBM MQ)
• Strong knowledge of databases (e.g., Oracle, SQL Server), data warehousing, and BI platforms
• Proficiency in data modeling tools and techniques
• Familiarity with DevOps and Agile methodologies
• Understanding of data security and privacy standards