Data Architect (Contract)

  • ALLSAINTS Retail Limited
  • Aug 02, 2025
Full time I.T. & Communications

Job Description

It has been determined that this role falls outside of IR35

THE ALLSAINTS TEAM

At AllSaints we are in the business of feelings - making our customers feel cool and confident. If, like us, you believe in the power of a great outfit, we'd love to talk to you.

We're a global brand made up of a very diverse mix of talented people in a huge variety of roles. Our products are designed in house and made by a small number of suppliers and artisans around the world to sustainable standards.

We are a brand embarking on a very exciting plan and we are seeking new members of the team who want to contribute to this.

THE ROLE

As a Data Architect (contract) for Project Nova, you will be instrumental in shaping AllSaints' journey to become a truly data-driven, AI-powered organisation. You will lead the design and implementation of our enterprise data architecture.

This role is central to the Data & Integration workstream of Project Nova, building on our existing data warehouse and BI capabilities to accelerate our data transformation and enable the use of greater AI-driven insight and actions. You will ensure our data assets are robust, accessible, secure, and optimised to support strategic decision-making and drive innovation across all business functions.

ABOUT THE PROJECT AND TEAM

You will report to the Global Head of Technology Delivery, working closely with the Project Nova leadership team. This role requires significant collaboration with the Integration Architect, Enterprise Architect, business stakeholders (Merchandising, Marketing, Finance, Supply Chain), and Tech teams to ensure a cohesive and integrated technology ecosystem. You will be part of a dynamic team driving the core technology transformation for AllSaints.

WHAT WILL I BE DOING?

1. Data Strategy & Architecture Design:

  • Define and evolve AllSaints' enterprise data architecture to support Project Nova's strategic objectives
  • Design and develop conceptual, logical, and physical data models
  • Architect the expansion of our data warehouse and BI capabilities, including data lakes and streaming
  • Design data pipelines and structures optimized for machine learning models
  • Evaluate and recommend data technologies, tools, and platforms
  • Participate in the Technical Governance approach, submitting designs for review and participating in architectural standups, working sessions and Design Authority meetings

2. Data Governance & Quality:

  • Establish and enforce data governance policies, standards, and procedures
  • Define data quality rules and implement processes for data validation and cleansing
  • Design and implement metadata management strategies
  • Architect secure data storage, access controls, and data privacy measures
  • Develop and implement Master Data Management (MDM) strategies
  • Partner closely with the Enterprise Architect, Integration Architect, business stakeholders, and IT teams
  • Collaborate with BI developers and data analysts to optimize data structures
  • Provide expert guidance and mentorship to data engineers and developers
  • Stay abreast of emerging data technologies and AI/ML trends, proposing innovative solutions
WHAT SKILLS DO I NEED?
  • Extensive Data Architecture Experience in designing and implementing complex enterprise data architectures, data warehouses, and data lakes in a global retail or similar data-intensive industry
  • Expert-level proficiency in various data modeling techniques and tools
  • Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery
  • Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica)
  • Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL)
  • Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions
  • Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles
  • Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain, marketing data)
  • Ability to translate complex technical concepts into clear business terms and effectively communicate with both technical and non-technical stakeholders
ABOUT THE LOCATION

Based in our East London Studios in vibrant Shoreditch with perks and benefits offered from local businesses including discounts on food, shopping and health & beauty. Studio Location . Approximately a 10 minute walk from Liverpool Street Station and a 5 minute walk from Shoreditch High Street.

WHAT WE STAND FOR

The Customer is the Boss We work as one proud team to get the best for our customers

One Team We are joined up and encourage others to share their ideas

We Do What We Say We Will We know our goals, and we work with clear outcomes in mind

We Are Responsible We are self aware, understand the impact we have on others and are positive about the future