Data Architect Lead

We are looking for an experienced Data Architect Lead to lead and govern enterprise data architecture across digital transformation programs.

The ideal candidate will have strong expertise in enterprise data architecture, data modeling, integration, and governance, with the ability to translate business requirements into scalable, secure, and sustainable data solutions.

Key Responsibilities

• Define current-state and target-state data architectures, gap assessments, and implementation roadmaps.
• Design enterprise data platforms, including Data Warehouses, Lakehouses, Operational Data Stores, and Analytics platforms.
• Develop conceptual, logical, and physical data models.
• Define data integration strategies, including ETL/ELT, APIs, batch and real-time pipelines, and event-driven architectures.
• Establish data architecture standards, reference patterns, and best practices.
• Ensure data governance, quality, metadata management, lineage, and security compliance.
• Align data architecture with business requirements and regulatory standards, including KSA NDMO policies and PDPL considerations.
• Lead and mentor data architects and engineering teams.
• Collaborate with business stakeholders, Enterprise Architects, and technical delivery teams.
• Review architecture designs, implementation plans, and technical deliverables.

Required Qualifications &

Experience

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 10 years of relevant experience, including at least 5 years in Data Architecture.
• Proven experience designing and delivering enterprise-scale data platforms.
• Strong expertise in data modeling, SQL, relational databases, and dimensional modeling.
• Solid experience with Data Warehousing, Data Lakes, and Lakehouse architectures.
• Hands-on experience with ETL/ELT, data integration, migration, and orchestration.
• Good understanding of Master Data Management (MDM), metadata, data lineage, and data quality.
• Experience with cloud or hybrid environments (Azure, AWS, or GCP).
• Strong leadership, stakeholder management, and communication skills.
• Professional proficiency in both Arabic and English.