Data & AI Architect Manager
Posted Updated
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
- 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
- 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