Data & AI Architect Manager

Salary: £37,000 - 68,500 per year

Requirements:

• 5 years experience across data engineering / architecture
• Strong experience designing and implementing data platforms and pipelines
• Cloud experience across AWS, Azure or GCP
• Strong understanding of modern data architecture and modelling
• Experience with platforms such as Snowflake or Microsoft Fabric
• Experience with Power BI, Tableau, Looker or similar
• Understanding of data governance and AI governance
• Strong advisory and stakeholder management skills, including working with senior / executive audiences
• The ability to bridge technical architecture with wider business strategy

Responsibilities:

• Lead the design and delivery of modern data solutions across complex transformation programmes
• Work directly with senior client stakeholders
• End-to-end data architecture across ingestion, processing, storage and analytics
• Develop modern data platforms including Snowflake and Microsoft Fabric
• Design and deliver data engineering, ETL and scalable data pipelines
• Create conceptual, logical and physical data models
• Design cloud data architecture and integrate with legacy platforms
• Support data governance, quality, security and compliance
• Integrate AI/ML, intelligent automation and predictive data solutions
• Deliver data visualisation and translate complex insights into business outcomes
• Provide architecture governance and technical leadership

Technologies:

• AI
• AWS
• Architect
• Azure
• Cloud
• ETL
• Fabric
• GCP
• Support
• Looker
• Power BI
• Security
• Snowflake
• Tableau
• Embedded

More:

We are a leading global change and transformation consultancy growing our Technology & Data practice. This Manager-level AI & Data Architect role is based in Central London, Greater London, United Kingdom on an onsite/hybrid basis and offers up to £90k. We provide flexible time off, a private medical plan, a health cash plan, enhanced parental leave and workplace savings benefits. This position offers genuine client ownership and the opportunity to help shape modern AI & Data transformation programmes.

last updated 39 week of 2026