Senior Data Modeler Technology Experts

• Bachelor s or Master s in Computer Science, Data Science, Information Systems, or related fields

Minimum Experience

• 10 12 years in data modeling, with at least 4 5 years in enterprise or senior-level modeling roles

Key Tasks

• Lead the creation, documentation, and maintenance of enterprise data models (conceptual, logical, physical) across key business domains.
• Review and approve data models developed by project teams to ensure compliance with client standards and architecture principles.
• Collaborate with Enterprise Data Architects to evolve and harmonize data models with the Group Enterprise Data Model.
• Establish and govern reusable modeling patterns, naming conventions, and metadata structures.
• Mentor and train Data Modelers and Analysts on modeling tools (e.g., Erwin) and standards.
• Support data integration teams by providing authoritative source and lineage definitions.
• Lead reverse engineering and modeling exercises for legacy and third-party data systems.
• Contribute to data architecture roadmaps and advise on domain design for new initiatives.
• Stay current with modern modeling approaches (e.g., data vault, dimensional modeling, semantic layers) and recommend adoption where appropriate.
• Act as modeling lead in architecture review boards and data governance councils.

Key Accountabilities

• Lead and oversee the design and maintenance of conceptual, logical, and physical data models for complex data domains.
• Define and enforce data modeling governance, standards, and naming conventions.
• Act as the subject matter expert for data modeling, providing technical guidance and mentoring to data modelers.
• Collaborate with data architects, engineers, and business teams to align models with enterprise data strategy and business needs.
• Evaluate and implement advanced modeling techniques, tools, and automation opportunities.
• Ensure models comply with local data regulations and security/privacy frameworks.

Job-Specific Skills

• Expertise in conceptual, logical, and physical data modeling.
• Strong proficiency in data modeling tools (

  Erwin mandatory

  ).
• Experience with data architecture frameworks and metadata management.
• Knowledge of MDM, governance, and integration patterns.
• Strong communication and stakeholder collaboration skills.
• Ability to mentor junior modelers and enforce standards.
• Understanding of regulatory and security requirements in modeling.

• Language:

  English.

• Certification:

  Certified Data Management Professional (CDMP) preferred; advanced data modeling or architecture certifications are an asset