> Markdown version of [/jobs/ext/3061757-domain-data-modeller](https://www.wearedevelopers.com/jobs/ext/3061757-domain-data-modeller). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Domain Data Modeller - **Company:** Hackajob Ltd - **Location:** Altrincham, UK - **Salary:** £61,000.0 - £101,000.0 - **Contract:** Permanent contract - **Skills:** Confluence, JIRA, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Structures, Database Design, Database Queries, Dimensional Modeling, Python (Programming Language), Metadata, Meta-Data Management, Scrum Methodology, Standard Sql, Azure Data Lake, SQL Databases, Cloud Platform System, Data Ingestion, Information Technology, Atlassian Tools, Databricks - **Published:** September 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5896695653 ## About the Role * We are looking for proven experience in domain or enterprise data modelling on large-scale data platforms. * We need a strong understanding of data architecture, metadata management and data governance. * We require experience using data modelling tools such as Erwin or equivalent. * We are looking for experience with cloud-based data platforms such as Azure Data Lake and Databricks. * We need familiarity with data cataloguing and lineage tools such as Microsoft Purview. * We require strong SQL skills and experience with relational and dimensional modelling. * We are looking for the ability to translate complex business concepts into clear data structures. * We need experience working in agile delivery environments, including Jira and Confluence. * We require excellent problem-solving, communication and stakeholder engagement skills. * We need the ability to manage multiple modelling activities across different business domains. * We require significant hands-on experience in data modelling projects, including designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform. * We are looking for experience understanding business processes, information flows and source systems, and translating them into conceptual, logical and physical data models. * We require experience in systems and database design, including relational and dimensional modelling techniques. * We need experience collaborating with data engineers, analysts and business stakeholders, and the ability to influence and build relationships across technical teams, architects, Product Owners and business stakeholders. * We require hands-on Databricks experience, including SQL and Python. * We need strong communication skills and experience working with technical and business stakeholders. * We require understanding of data quality, classification, privacy and governance principles, with the ability to embed them into model design. * A degree in Computer Science, Information Systems, Data Science or a related discipline is desirable. * Experience applying data quality, governance, metadata, lineage, security and privacy principles to BI and analytical solutions is desirable. * Relevant certifications such as CDMP or Microsoft Azure Data Engineering certifications are desirable. ## Description * We design, implement and maintain conceptual, logical and physical data models aligned to business domains. * We maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted. * We translate business requirements into clear, well-structured data models in collaboration with Product Owners, Technical Lead and delivery teams. * We contribute to solution architecture discussions, ensuring data models support scalability and long-term strategy. * We work closely with Data Engineers to validate models against ingestion pipelines and sample data. * We provide high-quality model documentation to support downstream development and analytics. * We maintain data modelling standards and best practices across squads. * We apply change management principles to ensure consistency and traceability of model changes. * We support governance and metadata management using recognised data modelling tools. * We capture and maintain domain knowledge and model documentation. * We engage with architects, SMEs, governance and compliance teams as needed. * We manage and contribute to modelling work within the squads agile backlog. * We actively participate in agile ceremonies, backlog refinement and sprint planning. 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