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Tenth Revolution Group
London, United Kingdom
2 weeks ago
£80,000 – £110,000 pa
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Salary

£80,000 – £110,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
19 May 2026 (2 weeks ago)

Benefits

Health & wellness benefits Car allowance Cycle to Work scheme Volunteering leave 24-hour Employee Assistance Programme Gym and retail discounts Flexibility to work from anywhere in the world for up to 4 weeks per year

Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architecture
up to £110,000

If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation is investing heavily in modern cloud, analytics and AI and they're building a team where experienced voices can make a real difference.

You'll join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused approach, this is a place where a strong Data & AI leader can have a meaningful impact while helping scale a rapidly expanding data function.

You Will Work With

Strategic Leadership & Presales

  • Senior and C-suite stakeholders, leading workshops, shaping solutions and commanding the room during presales engagements.
  • Running gap-analysis sessions, contributing to the sales cycle and helping strengthen the organisation's data-led presales capability.
  • Defining architectural direction and guiding programmes from concept to delivery.

Microsoft Data & AI Ecosystem

  • The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI.
  • Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks.

Power Platform & Dataverse

  • A heavy focus on Power Platform and Dataverse, as all customer data interacts with these technologies.
  • Designing scalable enterprise architectures, not ad-hoc integrations.

Modern Data Architecture

  • Lakehouse, data mesh, ELT/ETL patterns, MDM and dimensional modelling.
  • Steering the "doers" in the team-architecting the solution, not building it yourself.

Team & Practice Growth

  • Mentoring and guiding a growing data team.
  • Helping establish a maturing Data & AI division set for significant expansion over the coming years.
  • Creating reusable accelerators and assets alongside the Product team.

Benefits

  • Health & wellness benefits covering medical, dental and eye care, plus health cashback.
  • Car allowance inclusive of salary
  • Cycle to Work scheme.
  • Volunteering leave
  • 24-hour Employee Assistance Programme.
  • Gym and retail discounts.
  • Flexibility to work from anywhere in the world for up to 4 weeks per year.
  • Expected to attend London-based client sessions once per week.

Key Experience

  • Strong expertise across Azure data and AI services, including Fabric and ADF.
  • Deep understanding of Dataverse and Power Platform.
  • Demonstrable experience architecting complex, enterprise data and AI platforms.
  • Confident communicator able to own presales and C-suite conversations.
  • Knowledge of Dynamics 365, DevOps pipelines and Agile delivery.
  • Experience with ML, generative AI and cognitive services.
  • Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques.
  • Ability to guide delivery teams without being the hands-on builder.
  • Willingness to travel for client sessions (primarily London).

Ready to Take the Next Step?

If you're passionate about leading modern Data & AI architecture, enjoy shaping presales strategy and want to play a key role in scaling a fast-growing division, this is an opportunity you won't want to miss.

Apply now!

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Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.