Data Architect

Summary

Join Mintel as a Data Architect to lead the design and implementation of data models and associated standards. You will collaborate with data teams using AI and ML technologies, taking ownership of architectural processes. This hands-on role requires strong technical skills and collaboration with engineering teams. Success depends on teamwork and balancing trade-offs between practical implementation and strategic focus. Mintel is a leading market intelligence agency using technology to deliver data insights globally. This role involves continuous enhancement of existing capabilities and migration to a modern data platform.

Requirements

• Excellent 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

Responsibilities

• Become 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

Benefits

• Culture that supports true collaboration whilst embracing remote working
• Generous holiday allowance with the opportunity to buy additional holiday
• Approach to personal development where we encourage individuals to grow and share what they’ve learned
• Frequent social events, both within the department and across the company
• Blend of home and office working (1-2 days in the office)