Senior Data Modeler

About the role

We are seeking a highly skilled Data Modeling Specialist to design and maintain high‑quality data models that support our clients' data and analytics initiatives. The role collaborates closely with data architects, engineers, business analysts and stakeholders to translate business requirements into scalable, well‑documented data structures.

Key responsibilities

• Collaborate with business stakeholders, data architects, analysts, and engineering teams to gather and analyze data requirements.
• Translate business requirements into conceptual, logical, and physical data models.
• Design and maintain robust data structures for operational and analytical environments.
• Develop and maintain entity‑relationship diagrams (ERDs) and associated documentation.
• Apply data modeling best practices to ensure consistency, integrity, scalability, and maintainability.
• Define entities, relationships, cardinalities, hierarchies, and business rules.
• Design dimensional models, including fact and dimension tables, to support reporting and analytics.
• Ensure adherence to enterprise naming conventions, modeling standards, and metadata requirements.
• Work with ETL/ELT and data engineering teams to support implementation of approved models.
• Analyze existing data structures and recommend improvements or optimizations.
• Document data definitions, transformation logic, assumptions, and model decisions.
• Support data governance initiatives by contributing to metadata management and identification of critical data elements.
• Participate in model reviews and validate that implemented solutions reflect approved designs.
• Communicate complex data concepts effectively to technical and non‑technical audiences.

Required profile

• Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering or a related field.
• 4–5 years of hands‑on experience in data modeling and database design.
• Proven ability to create conceptual, logical and physical data models.
• Strong understanding of relational database concepts, including normalization.
• Experience designing both operational and analytical data structures.

Required skills

• Data modeling (conceptual, logical, physical)
• Relational database design and normalization
• Entity‑relationship diagram (ERD) creation
• Dimensional modeling (fact and dimension tables)
• Data governance and metadata management
• ETL/ELT process integration
• Documentation of data definitions and transformation logic