Mintel is searching for an experienced Data Architect to lead the design and implementation of data models and associated standards, while driving a cohesive data architecture vision. In this role, you will collaborate closely with our data teams, who manage extensive data assets and leverage AI and ML technologies. The ideal candidate will take ownership of data architectural processes and work hand-in-hand with Architects, Engineers, Data Scientists, Data Analysts, Product Managers, and other stakeholders to deliver scalable, high-performance data solutions for both customers and internal teams. Additionally, you will play a key role in the continuous enhancement of existing capabilities and migration towards our modern data platform.This hands-on, individual contributor role calls for a strong technical background and substantial experience working in close collaboration with Engineering teams. Success in this position hinges on the ability to work collaboratively, promote teamwork, and build strong partnerships across the organization. The ability to balance trade-offs will be particularly significant, especially as we work with Data Science and Analytics, ensuring practical implementation while maintaining strategic focus.What You’ll DoBecome an expert in Mintel’s data structures, working with technical and non-technical subject matter experts to document existing data assets.Own the creation of data architecture standards that govern the production of data models across Mintel, and the review processes that ensure their proper implementation.Collaborate with Data Architecture to lead glossary development and metadata cataloguing efforts for our data assets.Partner with our data enablement team to define the data structures for reference and master data, working with operational teams to master initial versions of this data.Help to identify and define data management best practices in areas such as data privacy and access control.Collaborate with stakeholders to create conceptual, logical, and physical data models and generate mapping documents that show how data can be transformed between them.Partner with data engineering teams to support the implementation of physical data models and transformation pipelines.Support our data analysis delivery by driving best practice and assisting in the development of models used in the production of visualizations and dashboards.Evaluate and profile existing data systems, helping to identify and troubleshoot any issues that arise in terms of modeling & performance.What We’re Looking ForExcellent communication skills to effectively translate technical concepts into easily understandable business terms.Effective relationship building with senior technical staff so that there is a common understanding of goals and challenges.The ability to adapt, manage and facilitate technological change.A strong background in data modeling and warehouse design.Deep knowledge of SQL, relational and dimensional modeling techniques, and familiarity with data modeling tools like SAP PowerDesigner.Experience in creating and advocating standards for data architecture across delivery teams, with a collaborative mindset to align teams globally.Experience with cloud-native data warehouses (e.g., Snowflake) and BI platforms like Tableau, Sigma or Looker.Knowledge of modern cloud-based technology architectures and designs.Women in TechnologyMintel is committed to building and supporting a diverse workforce, providing opportunities for all. We offer flexible working options, a collaborative and inclusive environment and provide support, development and growth opportunities.#J-18808-Ljbffr