Data Modeler

Role Overview Data Edge is looking for an experiencedData Modeler to design, structure, and maintain a Canonical DataModel that supports APIs, integrations, analytics, and futureplatform development. The role will focus on translating discoveryfindings, business requirements, and source system analysis intoclear, reusable, and governed data models. The Data Modeler willwork closely with data analysts, API engineers, architects, andimplementation teams to ensure consistency across entities,definitions, relationships, and metadata.

Key Responsibilities
Define conceptual and logical data models based on businessdiscovery findings and technical requirements. Identify anddocument entities, attributes, relationships, keys, hierarchies,and business definitions. Establish consistent naming standards,data definitions, and modelling conventions. Create, maintain, andevolve canonical entity models to support APIs, integrations, andplatform capabilities. Collaborate with Data Analysts, APIEngineers, Data Architects, and business stakeholders to validatemodel design. Support data governance activities, includingmetadata consistency, business glossary alignment, and dataownership clarity. Translate business concepts into structured,reusable data models for implementation teams. Produce clear modeldocumentation, including ERDs, entity definitions, relationshipdiagrams, and implementation guidance. Support alignment betweensource systems, target platforms, APIs, and integration layers.
Contribute to data architecture discussions and ensure that modelsare scalable, consistent, and reusable. Required Skills andExperience Strong experience in data modelling across enterprise orplatform environments. Solid understanding of conceptual, logical,and physical data modelling. Experience creating ERDs anddocumenting entity relationships. Strong knowledge of entities,attributes, keys, relationships, hierarchies, and businessdefinitions. Experience with canonical data models, enterprise datamodels, or integration-focused data modelling. Good understandingof data warehousing and data architecture principles. Ability totranslate discovery outcomes and business requirements intostructured data models. Strong documentation skills and attentionto detail. Good communication skills, with the ability to work withbusiness, data, API, and technical teams. Nice to Have Experiencesupporting API design, system integrations, or platformmodernisation programmes. Familiarity with metadata management,data catalogues, and data governance frameworks. Experience workingwith data analysts, solution architects, and engineering teams inAgile delivery environments. Understanding of master data,reference data, and reusable enterprise data entities. Experiencewith modelling tools such as ER/Studio, ERwin, Sparx EnterpriseArchitect, Lucidchart, or similar. Profile The ideal candidate is astructured and detail-oriented Data Modeler who can turn businessdiscovery outputs into clear, reusable, and well-governed datamodels. They should be comfortable working across business andtechnical teams and able to create models that support APIs,integrations, analytics, and long-term platform development. Thisrole is best suited for someone with strong modelling fundamentals,good documentation discipline, and the ability to bring consistencyto complex data landscapes.