Data Modeller

Role Summary

The Data Modeller defines, governs, and documents enterprise data structures, interfaces, and information flows. The role produces conceptual, logical, and physical data models, mappings, lineage, and supports delivery and governance.

“Produce conceptual, logical and physical data models, interface agreement documentation, source-to-target mappings and data lineage artefacts.”

Key Responsibilities

• Develop conceptual, logical, and physical data models.


• Define data structures, interfaces, and information flows.


• Produce source-to-target mappings and lineage artefacts.


• Support data governance, metadata management, and quality initiatives.


• Collaborate with delivery teams on data integration and testing.

Required Skills

• Data modelling & architecture


• Metadata & master data management


• Data governance & quality


• Data integration & migration


• Stakeholder engagement

“Data modelling, data architecture, data governance, metadata management…”

Tools / Frameworks

• ERwin, ER/Studio, SAP PowerDesigner, Sparx EA


• SQL, Oracle SQL Developer, SSMS, PostgreSQL


• Informatica, Talend, DataStage


• Azure Data Factory


• Power BI, Tableau

Experience

• 7+ years in data modelling or data architecture


• Experience with enterprise data platforms


• Strong SQL and modelling tool expertise