Data Architect

Summary

Join Mintel as a Data Architect to lead the design and implementation of data models and associated standards. Collaborate with data teams using AI and ML technologies to deliver scalable data solutions. This hands-on role requires strong technical skills and collaboration with engineering teams. You will own data architecture standards, work with stakeholders to create data models, and support data analysis. Mintel offers a collaborative culture, remote work options, generous holiday allowance, personal development opportunities, and social events.

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)