Negotiable
Outside
Undetermined
London, England, United Kingdom
Summary: As a Data Architect (contract) for Project Nova at AllSaints, you will play a crucial role in developing the enterprise data architecture to support the company's transformation into a data-driven, AI-powered organization. Your responsibilities will include designing data models, implementing data governance, and collaborating with various stakeholders to enhance data capabilities. This position is integral to the Data & Integration workstream, focusing on optimizing data assets for strategic decision-making. You will work closely with the Global Head of Technology Delivery and other key team members to drive technology transformation at AllSaints.
Key Responsibilities:
- 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 data warehouse and BI capabilities, including data lakes and streaming.
- Design data pipelines and structures optimized for machine learning models.
- Establish and enforce data governance policies, standards, and procedures.
- Define data quality rules and implement processes for data validation and cleansing.
- Collaborate with BI developers and data analysts to optimize data structures.
- Provide expert guidance and mentorship to data engineers and developers.
Key Skills:
- Extensive experience in designing and implementing complex enterprise data architectures.
- Expert-level proficiency in various data modeling techniques and tools.
- Strong hands-on experience with Google Cloud Platform - BigQuery.
- Experience with leading ETL/ELT tools and data pipeline orchestration.
- Advanced SQL skills and knowledge of various database technologies.
- Practical experience in establishing data governance frameworks and data quality initiatives.
- Understanding of data requirements for machine learning.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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?
- 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
- 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
- Collaboration & Mentorship: 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