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Data Architect / Data Modeler

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Job Description

Job Title: Data Architect / Data Modeler

Location: Riyadh, Saudi Arabia
Employment Type: Full-time
Experience: 7+ Years

Job Overview

We are looking for a skilled Data Architecture and Data Modeling professional to design, develop, and maintain enterprise data structures that support analytics, reporting, and operational systems. The role requires hands-on experience in relational data modeling, data mappings, and ETL processes, ensuring data consistency, scalability, and alignment with business requirements.

Key Responsibilities
  • Design and maintain enterprise, logical, and physical data models to support business and analytical needs.

  • Define and manage data architecture standards, principles, and best practices.

  • Develop data mappings between source systems and target data warehouses or data marts.

  • Collaborate with ETL developers to support data integration, transformation, and loading processes.

  • Ensure data models align with business requirements, data governance policies, and system architecture.

  • Use data modeling tools to document and manage data structures, relationships, and metadata.

  • Support data quality, consistency, and integrity across enterprise data platforms.

  • Participate in data architecture and modeling initiatives and projects.

Required Qualifications & Experience
  • Bachelor's degree in an IT-related discipline (Information Technology, Information Management, Data Analysis, Computer Science, or equivalent).

  • Minimum 3 years of hands-on experience in Data Architecture and Data Modeling projects.

  • Strong experience with relational data models (ER modeling, normalization, dimensional modeling).

  • Practical experience in data modeling techniques (conceptual, logical, and physical models).

  • Experience developing data mappings and working with ETL/ELT tools.

  • Hands-on experience using data modeling tools (e.g., ERwin, PowerDesigner, Enterprise Architect, ER/Studio, or similar).

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Job ID: 152275513

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