Senior Data Modeller

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be. Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health? There’s only one question left: are you ready to make healthcare smarter, and actually mean it? The Senior Data Modeller will develop and manage enterprise conceptual, logical and physical data models. They will also develop solutions within various portfolios to support strategic decision-making, advanced analytics, and AI initiatives. This includes translating data architecture into reusable, governed and implementation-ready designs that support data and digital products. WHAT WE'RE LOOKING FOR? Minimum - Bachelor’s degree: Computer Science, Information Systems, Data Engineering, or related field. - 6+ years' experience in enterprise data modelling, data architecture, data engineering, or enterprise data management. - Experience with conceptual, logical and physical data modelling. - Strong understanding of relational and dimensional modelling techniques. - Experience with metadata management and enterprise data dictionaries. - Experience using enterprise modelling tools such as SAP PowerDesigner, ERwin or ER/Studio. - Strong SQL skills. - Understanding of Data Warehousing and Lakehouse concepts. - Experience working in Agile delivery teams. Advantageous - Experience modelling data for Databricks, Snowflake or Microsoft Fabric. - SAP data modelling experience. - CDMP certification. - DAMA-DMBOK knowledge. - Data Vault certification. WHAT YOU WILL BE DOING? - Develop Conceptual, Logical and Physical Data Models aligned with enterprise architecture. - Define and maintain enterprise metadata standards. - Collaborate with Data Architects to ensure solution alignment with enterprise architecture. - Ensure models support analytics, AI and operational use cases. - Support Data Engineers during implementation. - Support Data Governance initiatives. WHO YOU ARE - Ability to build consensus and influence decision-making across business, IT, and data teams. - Modern Warehousing: DataBricks; AWS, Lakehouse Architecture - DAMA-DMBOK Principles - Data Owners, Stewards and Governance Specialists - Faster delivery of data products through reusable models. - Thinks in business capabilities, domains and enterprise Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale. Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.