Data Architect

Data Architect Location: London – Hybrid – 2 days per week onsite Start Date: ASAP Contract Rate: £460 per day inside IR35 Duration: 6 to 12 months initially Role Overview Our client is seeking an experienced Data Architect to join a high-performing team delivering cutting-edge data solutions within a dynamic retail environment. This role will focus on designing and evolving scalable data architectures, enabling advanced analytics, and supporting data-driven decision making. You will collaborate closely with Product Owners, Engineers, and wider architecture teams to deliver robust, future-ready data models and platforms using modern cloud technologies such as Snowflake, DBT, and AWS/Azure. Key Responsibilities • Design, develop, and maintain scalable data architectures and models to support business requirements • Triage new data requirements, assess impacts, and estimate changes to existing data models • Develop and enhance conceptual, logical, and physical data models • Act as the custodian of data modelling standards, ensuring governance and best practices across teams • Collaborate with cross-functional teams (engineering, product, analytics) to deliver optimal data solutions • Ensure alignment of data models with overall architecture strategy and long-term data vision • Document, manage, and communicate data models effectively across stakeholders • Promote best practices in data modelling methodologies (3NF, Dimensional, Data Vault) • Analyse complex datasets to identify opportunities for improved structure and business value • Contribute to architectural discussions and innovation across the wider data community Skills & Experience Essential: • Proven experience as a Data Architect or Senior Data Modeller working with complex datasets • Strong expertise in data warehousing and end-to-end data architecture • Hands-on experience with modelling methodologies such as 3NF, Dimensional Modelling, and Data Vault • Experience working with modern cloud data platforms (e.g., Snowflake, AWS, Azure) • Strong understanding of data engineering ecosystems, including tools such as DBT and Airflow • Excellent stakeholder management, communication, and influencing skills • Ability to translate business requirements into scalable technical solutions • Strong analytical and problem-solving skills Desirable: • Experience with AI/ML or Generative AI technologies • Knowledge of data visualisation tools such as Power BI or MicroStrategy • Experience with cloud migration programmes or large-scale data transformation initiatives If you have the relevant skills and experience, please do apply promptly to be considered.