Data Modeller (Erwin Data Modeler)
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Key skills for this role
About the Role
1 x Data Modeller (Erwin Data Modeler) Location: Abudhabi - UAE - Onsite Open to Relocate Duration: 6 months ( Extendable to One Year) Experience: 5 to 7 Years P.
Key Skills for This Role
Responsibilities
- Configure and administer the Erwin Data Modeler environment for ADC
- Establish and maintain the Erwin Mart repository for version controlled storage of DDM artefacts
- Implement DDA approved modelling standards, naming conventions, and notation frameworks
- Facilitate stakeholder workshops to identify, scope, and define authoritative data registers
- Produce Authoritative Data Register Definition Packs for each register
- Develop conceptual data models representing high level entities, relationships, and business rules
- Produce supporting Data Requirements Specifications for each conceptual model
- Develop logical data models defining entities, attributes, relationships, cardinality, and data types
- Ensure traceability between conceptual and logical models using Erwin traceability features
- Develop physical data models aligned to ADC's target architecture (IBM DB2 Warehouse, Databricks Delta Lake)
- Reverse engineer existing DB2 database structures where required
- Maintain complete traceability between approved register definitions and conceptual, logical, and physical models
Requirements
- Extensive experience with Erwin Data Modeler and Erwin Mart
- Strong background in conceptual, logical, and physical data modelling
- Experience with enterprise data governance and metadata management frameworks
- Knowledge of IBM DB2 Warehouse and Databricks Delta Lake architectures
- Experience implementing data modelling standards and traceability controls
- Strong stakeholder engagement and workshop facilitation skills
- Understanding of government data standards, information models, and enterprise architecture practices
Full Job Posting
Role Overview
- The Data Modeller will be responsible for establishing and managing the enterprise data modelling capability for ADC using Erwin Data Modeler.
- The role will lead the design and delivery of authoritative data register models across conceptual, logical, and physical layers while ensuring alignment with government data standards, enterprise architecture requirements, and target platform implementations.
Key Responsibilities
- Configure and administer the Erwin Data Modeler environment for ADC.
- Establish and maintain the Erwin Mart repository for version controlled storage of all Data Domain Model (DDM) artefacts.
- Implement DDA approved modelling standards, naming conventions, and notation frameworks.
- Validate accessibility and operational readiness of the modelling environment for both onshore and offshore delivery teams.
- Facilitate stakeholder workshops to identify, scope, and define authoritative data registers.
- Document domain boundaries, business definitions, ownership, stewardship responsibilities, and relationships with upstream and downstream systems.
- Produce Authoritative Data Register Definition Packs for each register.
- Develop conceptual data models representing high level entities, relationships, and business rules.
- Produce supporting Data Requirements Specifications for each conceptual model.
- Develop logical data models defining entities, attributes, relationships, cardinality, and data types.
- Ensure traceability between conceptual and logical models using Erwin traceability features.
- Develop physical data models aligned to ADC's target architecture, including IBM DB2 Warehouse schemas and Databricks Delta Lake structures.
Required Skills and Experience
- Extensive experience with Erwin Data Modeler and Erwin Mart.
- Strong background in conceptual, logical, and physical data modelling.
- Experience with enterprise data governance and metadata management frameworks.
- Knowledge of IBM DB2 Warehouse and Databricks Delta Lake architectures.
- Experience implementing data modelling standards and traceability controls.
- Strong stakeholder engagement and workshop facilitation skills.
- Understanding of government data standards, information models, and enterprise architecture practices.
Deliverables
- Erwin Mart repository and modelling standards configuration.
- Authoritative Data Register Definition Packs.
- Conceptual, logical, and physical data models.
- Data Requirements Specifications.
- DDM ID Mapping Tables.
- GIM/UDM Alignment Register.
- Modelling Approval Packages and DDA sign off artefacts.
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