Data Architect

OverviewJoin to apply for the Data Architect role at Women in Data.Salary: Competitive salary plus benefitsClosing Date: 20 September 2025This role requires on-site presence at Asda House in Leeds for at least three days per week.We’re offering an exciting opportunity for a driven and passionate individual looking to transition into the world of Data Architecture. If you come from a background in data engineering, analytics, or solution architecture and are eager to take the next step in your career, this role could be your perfect fit.You’ll be supported with comprehensive training in cutting-edge technologies including Azure and Databricks to grow into a Data Architect.

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

Core Skills & Experience

Experience in architecture in a complex organisation

Expertise in Kimball and Data Vault 2.0 methodologies

Data modelling, metadata, and governance knowledge

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

Benefits

Discretionary company bonus

Company pension up to 7% matched

Company Car allowance of £5,700

15% colleague discount in store and online

Wellbeing services and employee assistance programs

ASDA Allies Inclusion Networks – inclusion and belonging initiatives

Excellent parental leave policies including maternity & adoption leave, paternity leave, shared parental leave, neonatal care leave, and fertility treatment support

Additional Information

We welcome applications from candidates seeking part-time hours, flexible working arrangements, or job share opportunities. For questions about the role, please email [email protected].

Hybrid working with a minimum of 3 days per week in a Home Office. Additional in-person requirements may apply by area.

Company and Social

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK.

Visit: www.womenindata.co.uk to join our community.

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Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Analyst

Industries: Information Services

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