Data Architect (Data Modelling)

Salary: £44,000 - 84,000 per year

Requirements:

• Experience working with semi-structured, high-volume data, ideally in Digital tagging or Analytics area.
• Strong skills in stakeholder management.
• Hands-on experience in DV 2.0 and Kimball dimensional data modelling.
• Clear understanding of the differences between Conceptual, Logical, and Physical data modelling, and able to demonstrate these distinctions.
• Experience in a Matrix reporting structure.
• Ability to serve as the Architecture custodian for the squad, ensuring standards and principles are followed.
• Knowledge of data products.
• Technical expertise in designing ELT pipelines.
• Experience as a Data Modeller or Architect.
• Comprehensive understanding of Data Warehousing and analytic end-to-end architecture.
• Proficiency with modelling methodologies such as 3NF, Dimensional, and Data Vault.
• Experience with canonical modelling and publication service/microservice-based schematic design.
• Knowledge of machine learning and modern algorithmic techniques at scale.
• Strong communication and influencing skills.
• Curious and driven mindset with the ability to understand business processes and data.

Responsibilities:

• Design and build advanced data solutions and models.
• Work closely with Product Owners, Engineers, and cross-functional teams to deliver optimal data solutions.
• Triage new requirements, assess impact, and provide estimates for modifying data models.
• Develop and enhance business physical data models to meet evolving needs.
• Drive alignment across teams where necessary.
• Act as custodian of data models and define/own modelling within delivery teams.
• Ensure adherence to standards and principles.
• Create solutions that fulfil business needs and align with the end state architecture.
• Document, communicate, and centrally manage data models appropriately.
• Collaborate with the broader architecture community to share expertise and promote alignment and innovation.
• Advocate for and implement best practices at Engineering and Product Manager levels.
• Leverage data to drive business value and shape new products and services.

Technologies:

• AI
• Architect
• Data Vault
• Support
• Machine Learning
• Matrix
• Product Manager
• XP
• Excel

More:

We are Sainsburys, a multi-channel, multi-brand business serving millions of customers daily and handling over 1.2 billion transactions each year. Weve invested heavily in our Tech Academy, standards, principles, and modern ways of working, including Agile, Scrum, and XP. We offer an inclusive, supportive culture with opportunities to experiment, learn, and grow across exciting areas such as AI and reusable tech. We also provide a wide range of benefits, including colleague discount, pension and life cover, performance-related bonus potential, holiday allowance, flexible working where possible, wellbeing support, family leave, and other money-saving perks. Full time.

last updated 36 week of 2026