Data Architect (Data Modelling)

Sainsbury's Bank; Greater London; On-site; GBP 44,000 - 84,000; Full time

Job summary

Sainsbury's Bank is seeking a Data Architect to design and build advanced data solutions in a high-volume, semi-structured data environment. You will collaborate with Product Owners, Engineers and cross-functional teams to deliver scalable data models and analytics capabilities.

In this role you will act as custodian of data models, promote best practices, and guide architecture decisions while leveraging Data Vault, 3NF and dimensional modelling techniques to drive business value at scale.

Qualifications

• Experience with high-volume data and analytics
• Stakeholder management experience
• Strong understanding of DV 2.0 and Kimball modelling
• Knowledge of 3NF, Dimensional and Data Vault
• Experience as data modeller/architect and data warehousing

Responsibilities

• Design and build advanced data solutions and models
• Collaborate with Product Owners, Engineers and cross-functional teams
• Triage new requirements and estimate data model changes
• Develop business physical data models for evolving needs
• Act as custodian of data models and ensure standards are followed
• Document and manage data models and promote alignment across teams
• Leverage data to drive business value and shape new products

Skills

High-volume data

Stakeholder management

DV 2.0

Kimball modelling

3NF modelling

Dimensional modelling

Data Vault

Canonical modelling

ML techniques

Data Warehousing

End-to-end architecture

Tools

Excel

Job description

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 37 week of 2026