Data Modeler Banking Domain
Job in
Riyadh, Riyadh Region, Saudi Arabia
Listed on 2026-01-27
Listing for:
MAGNOOS Information Systems
Full Time
position Listed on 2026-01-27
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Warehousing, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Date:
Jan 16, 2026
Location:
Riyadh, SA
Company:
Magnoos Information Systems Technology
Req
Job TitleData Modeler (Banking Domain)
Job ScopeWe are seeking an experienced Data Modeler with strong expertise in the banking domain to support enterprise data initiatives, data warehousing, and analytics projects. The ideal candidate will have deep understanding of banking data structures and hands-on experience in building enterprise-level data models.
Main Duties And Responsibilities- Design and develop enterprise data models based on banking industry standards.
- Build logical and physical data models for DWH and analytics environments.
- Create and maintain fact and dimension tables, ensuring accurate modeling of business processes.
- Collaborate with business and technical teams to translate banking requirements into scalable data structures.
- Support ETL, BI, and analytics teams by providing data mapping and model documentation.
- Conduct data validation, metadata documentation, and ensure model alignment with governance standards.
- Optimize data models for performance and maintainability.
- Strong experience in banking domain data models (Core Banking, Lending, Cards, Payments, CRM, Risk, etc.).
- Hands-on experience with enterprise data modeling (conceptual, logical, physical).
- Strong knowledge of DWH concepts, ETL processes, and dimensional modeling.
- Expertise in building facts, dimensions, star/snowflake schemas.
- Proficiency with data modeling tools (ERwin, Power Designer, ERStudio).
- Strong SQL and database understanding.
Bachelor’s degree in Computer Science, Computer Engineering or any other related field
Experience- Experience in data governance, metadata, and lineage.
- Exposure to cloud data platforms (Azure, AWS, GCP).
- Understanding of banking regulations (Basel, AML, IFRS) is a plus.
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