Data Architect – Commercial, Supply Chain, Logistics and Channels

Overview

As a Data Architect at Sainsbury’s, you design and build advanced data solutions for a multi-channel, multi-brand business. You collaborate with Architecture Partners, Product Owners and Engineering to deliver scalable data models aligned with business needs. You will triage requirements, evolve data models, and act as custodian of data architectures across squads. You’ll work in an agile, innovative environment that emphasises learning and real-world impact on millions of customers. This role offers the chance to shape data-led products and services at scale.

Pay / Benefits

• colleague discount (10% after 4 weeks)
• pensions scheme
• life cover
• performance bonus up to 10%
• annual leave with buy/additional holiday
• season ticket loans

Responsibilities

• Design and implement leading-edge data solutions and models
• Triages requirements, assesses impact, and estimates model changes
• Develop and enhance business physical data models to meet evolving needs
• Serve as custodian of data models and ensure adherence to standards
• Document, communicate, and centrally manage data models across delivery teams
• Collaborate with Architecture Partners, Product Owners and Engineering
• Share expertise to promote alignment and innovation across Sainsbury’s Tech
• Leverage data warehousing/analytic end-to-end architecture and various modelling methodologies

Key requirements

• Experience with semi-structured, high-volume data
• Experience working with partner teams
• Strong stakeholder management skills
• Hands-on experience in DV 2.0 and Kimball dimensional data modelling
• Understanding of Conceptual/Logical/Physical data modelling distinctions
• Experience in a matrix reporting structure
• Ability to act as Architecture custodian for the squad
• Knowledge of Data products
• Technical expertise in designing ELT pipelines

• Strong communication and influencing abilities
• Curious and driven mindset
• Ability to understand business processes and translate into data solutions
• Data warehousing and analytic end-to-end architecture
• 3NF, Dimensional, Data Vault modelling
• Canonical modelling and publication service/microservice design

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