Future Tech Jobs Future Tech Jobs

Principal AI & Data Architect

Tenth Revolution Group
London, United Kingdom
Last week
£80,000 – £110,000 pa

Salary

£80,000 – £110,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
19 May 2026 (Last week)

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
Share
Save job
Create job alert

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!

Related Jobs

View all jobs

Data Architect

Tenth Revolution Group London, United Kingdom
£95,000 – £125,000 pa Hybrid

Data Architect

Tenth Revolution Group Manchester, United Kingdom
£95,000 – £125,000 pa Hybrid

Data architect

Tenth Revolution Group Edinburgh, Alba / Scotland, United Kingdom
£95,000 – £125,000 pa Hybrid

Principal Solution Engineer - Observe AI

Snowflake London, United Kingdom
On-site

Principal Solution Engineer - Obervability

Snowflake London, United Kingdom
On-site

Principal Solution Engineer - Wealth & Asset Management

Snowflake London, United Kingdom
On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

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

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.