Enterprise Data Architect: Secure, Scalable Data Governance

Alfanar Precast; Riyadh; On-site; SAR 180,000 - 240,000; Full time

Job summary

Alfanar Precast is seeking an experienced Data Architect to design and govern enterprise data architecture across the organization. You will develop conceptual, logical, and physical data models to support business and technical requirements, define standards, and guide integration patterns.

The role emphasizes collaboration with cybersecurity, governance teams, and stakeholders to ensure data quality, lineage, and compliant handling of data across platforms.

Qualifications

• Design and govern enterprise data architecture across the organization.
• Develop conceptual, logical, and physical data models to support requirements.
• Define data standards, architecture principles, and integration patterns.
• Acquire and maintain updated data architecture skills and knowledge.

Responsibilities

• Design and maintain the enterprise data architecture across the organization.
• Develop data models to support business and technical needs.
• Define data standards, architecture principles, and integration patterns.
• Design and oversee data integration solutions across systems.
• Define ETL/ELT processes and ensure reliable data flow.
• Address data redundancy, inconsistency, and fragmentation.

Skills

Data Architecture

ETL/ELT

Data Modeling

Data Governance

Metadata Management

Data Quality

Security & Compliance

SQL/NoSQL

Cloud Data Platforms

Stakeholder Collaboration

Education

Bachelor's Degree in Information Technology

Tools

ETL Tools

Relational & NoSQL Databases

Job description

Alfanar Precast is seeking an experienced Data Architect to design and govern enterprise data architecture across the organization. You will develop conceptual, logical, and physical data models to support business and technical requirements, define standards, and guide integration patterns.

The role emphasizes collaboration with cybersecurity, governance teams, and stakeholders to ensure data quality, lineage, and compliant handling of data across platforms.