Data Architect

Job Description – Data Architect

Job Title: Data Architect
Experience: 8–10 Years / 12–18 Years
Employment Type: Full-Time
Location: Riyadh, Saudi Arabia (Preferred) / Egypt / Jordan / Pakistan / India

Role Overview

We are seeking an experienced Data Architect to design, implement, and govern enterprise-scale data architecture solutions that support business transformation and analytics initiatives. The ideal candidate will define enterprise data standards, architecture frameworks, and governance practices while collaborating with business and technology stakeholders to deliver scalable, secure, and high-quality data solutions.

Key Responsibilities

• Design and maintain enterprise data architecture, data models, and data integration frameworks.
• Define and implement data architecture standards, best practices, and governance principles.
• Collaborate with business and technical stakeholders to translate business requirements into scalable data solutions.
• Lead data modeling, data integration, and information management initiatives across the enterprise.
• Ensure data quality, consistency, security, and compliance across enterprise data platforms.
• Provide architectural guidance for cloud data platforms, analytics, and modernization programs.
• Develop enterprise data roadmaps aligned with organizational strategy.
• Present architecture recommendations and solution designs to business and executive stakeholders.

Must Have

• 8–10 years or 12–18 years of experience in Data Architecture , Enterprise Data Management , or a related field.
• TOGAF and/or DAMA Certification (Mandatory).
• Strong expertise in:
  • Enterprise Data Architecture
  • Data Governance
  • Data Modeling
  • Master Data Management (MDM)
  • Data Integration
  • Metadata Management
• Excellent business communication, stakeholder management, and presentation skills.
• Ability to engage with senior business and technology leadership.

Good to Have

• Experience with cloud data platforms (Azure, AWS, or GCP).
• Knowledge of Data Warehouse, Data Lake, and Lakehouse architectures.
• Familiarity with enterprise architecture frameworks and modern data management practices.
• Experience working in Agile delivery environments.