Data Architect (Data Modelling)

In this role you will design and deliver advanced data solutions for a large, multi-brand retailer, enabling scalable, high-performance data platforms. You will collaborate with product, engineering and architecture communities to align data models with business needs, driving value across millions of transactions. The role offers an inclusive, agile environment with opportunities to explore AI and reusable tech, while supporting work-life balance and professional growth. You will shape data architecture to support strategic, data-driven decisions at scale.

• colleague discount
• pensions scheme and life cover
• performance-related bonus up to 10%
• annual holiday allowance and option to buy more
• season ticket loans
• cycle to work scheme and health cash plans','employee assistance programme

• Design and build leading-edge data solutions and models in collaboration with Product Owners and Engineering
• Triager and assess new requirements; estimate impact on data models
• Develop and enhance business physical data models; maintain alignment with end-state architecture
• Act as custodian of data models; define and own modelling standards within delivery teams
• Document, communicate, and centrally manage data models
• Collaborate with the wider architecture community to promote alignment and innovation across Tech
• Apply data warehousing/analytic end-to-end thinking and ensure canonical modelling and publishing service considerations
• Support the use of modern techniques (e.g., machine learning) at scale to drive data design best practices

• Experience with semi-structured, high-volume data (ideally in Digital tagging or Analytics)
• Strong stakeholder management skills
• Hands-on experience in DV 2.0 and Kimball dimensional data modelling
• Understanding of conceptual, logical, and physical data modelling distinctions
• Experience in a matrix reporting structure
• Ability to serve as Architecture custodian for a squad and uphold standards
• Knowledge of Data products and ELT pipeline design

• Strong communication and influencing skills
• Curiosity and drive to understand business processes
• Collaborative mindset and ability to work with cross-functional teams
• Data Warehousing / Analytic end-to-end architecture
• Modelling methodologies: 3NF, Dimensional, Data Vault
• Canonical modelling; publication service/microservice-based schematic design