Data Architect

Infinigate Group are looking to recruit a Data Architect for an exciting, dynamic role within the Infinigate AI and Data Team. Working alongside an eager team where collaboration, innovation and personal development are key pillars, you will design and govern scalable, secure and reusable data architectures that support analytics, reporting, automation and AI use cases across the business.

We are hiring a Data Architect to define, design and evolve enterprise data architecture across modern cloud and lakehouse platforms. You will translate business, analytics and AI requirements into robust data models, integration patterns, platform standards and governance controls that create trusted, reusable data assets.

This is a senior technical leadership role with architecture ownership scope: you will shape data architecture principles, guide design reviews, collaborate with engineering and analytics teams, and make practical trade-offs across data modelling, integration, governance, performance, security, cost and operational resilience.

• Strong SQL, data modelling and data platform skills, with practical experience designing schemas, semantic layers, dimensional models and enterprise data structures

• Hands-on experience with modern data platforms such as Databricks, Microsoft Fabric, Azure Data Lake, Azure Synapse, Snowflake or comparable cloud data technologies

• Experience designing lakehouse, data warehouse, data mart and data product architectures that support trusted analytics and operational reporting

• Ability to define metadata, lineage, master data, reference data and data quality approaches that improve trust, discoverability and reuse of data assets

• Experience using Databricks, Spark and lakehouse concepts for scalable data storage, transformation, governance and analytical consumption

• Familiarity with Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Purview or comparable cloud-based data architecture and governance services

• Experience with engineering practices including Git, automated testing, CI/CD, infrastructure-as-code, documentation and operational monitoring for data platforms

• Ability to use AI-assisted development and documentation tools responsibly to improve architecture design, productivity and knowledge sharing

• Proven track record delivering data architecture, data platform or enterprise data management solutions in production environments