Data Architect at ASDA
Leeds LS11 5AD, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

26 Jul, 25

Salary

0.0

Posted On

13 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kimball, Metadata, Azure, Management Skills, Data Architecture, Data Vault

Industry

Information Technology/IT

Description

CORE SKILLS & EXPERIENCE

  • Proven experience in enterprise data architecture in a complex organisation
  • Expertise in Kimball and Data Vault 2.0 methodologies
  • Strong grasp of data modelling, metadata, and governance knowledge
  • Hands-on experience with modern data platforms (Databricks, Delta Lake, Unity Catalog, Azure)
  • Ability to define and drive architecture principles, patterns, and best practices
  • Excellent communication and stakeholder management skills
  • Retail industry experience is a bonus but not a deal breaker
    At ASDA, you’ll be part of a collaborative, forward-thinking team that values innovation, inclusivity, and continuous learning. We offer great benefits and the chance to make a real impact.
Responsibilities

THIS ROLE REQUIRES ON-SITE PRESENCE AT ASDA HOUSE IN LEEDS FOR AT LEAST THREE DAYS PER WEEK. WE’RE REALLY LOOKING FORWARD TO HAVING YOU AROUND!

Are you passionate about turning complex data ecosystems into streamlined, scalable solutions? Do you thrive on designing enterprise-wide data models that power real business impact? If so, we’d love to meet you.
At ASDA, we’re on a mission to transform how we use data across every corner of our business from Product and Customer to Supply Chain, Finance, and beyond. As a Data Architect, you’ll play a pivotal role in shaping our data strategy, ensuring our architecture is robust, future-ready, and aligned with our strategic goals.

KEY RESPONSIBILITIES

  • Architect and evolve enterprise-wide data models across key domains like Product, Customer, Supply, Finance, and Location
  • Apply Kimball dimensional modelling for consumption layer design and Data Vault methodology for raw and business layer integration
  • Define and maintain data architecture principles, patterns, and standards
  • Collaborate with data platform teams on governance, quality, lineage, and optimisation
  • Consult with squads on physical data modelling
  • Contribute to metadata and data catalog initiatives to improve discoverability and reuse
  • Support our shift to a Data Product Ownership model, enabling domain-aligned teams
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