National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

GCP Data Solutions Architect

City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Lead Data Engineer

MLOps Data Platform Engineer

Senior Data Scientist

Senior Data Scientist

Job Title: Data Solutions Architect - Consulting; Banking & Finance
Location: London (Hybrid - 2 days/week in office)
Employment Type: Permanent
Salary: Up to £126,000 + 15% Annual Bonus + Benefits
Start Date: ASAP (Short notice preferred)

A leading global data consultancy is seeking a highly experienced Data Solutions Architect to join its Data Management practice, supporting clients in the Banking and Financial Services sector. This is a strategic, client-facing role with a strong emphasis on solution design and advisory, rather than hands-on implementation.

The Role

This position is ideal for a technically adept professional with deep domain expertise in banking and broader finance, who can confidently engage with senior stakeholders to shape data strategies, modernise platforms, and drive cloud transformation initiatives.

You will lead the design of enterprise data architectures, support pre-sales and RFPs, and guide delivery teams - acting as a trusted advisor to CDOs, CIOs, and Heads of Data. As such, strong communication, consulting, and leadership skills are essential.

You will be responsible for architecting and leading the delivery of enterprise-scale data platforms, with a focus on Google Cloud - though occasionally you may also work with Microsoft / Azure and AWS technologies. This will involve leading and mentoring global teams of Data Engineers, Analysts and Data Scientists.

You will be encouraged to stay up-to-date with emerging trends in the Data and AI space, contributing to internal innovation and capability development.

Candidate Profile

Experience designing enterprise data solutions on the Google Cloud Platform (GCP)
Enterprise data modelling experience
Proven experience leading and developing high-performing teams
Experience in the banking domain (e.g. commercial, investment, or retail banking)
Experience with DevOps tools (e.g. Terraform, Azure DevOps, GitHub)
Excellent communication, stakeholder management and engagement skillsWhat's on Offer

Salary up to £126,000 per annum
15% annual performance bonus
Private healthcare, critical illness cover, life assurance, and income protection
Generous pension scheme
Extensive learning and development opportunities
Inclusive and diverse work environment

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group. For a confidential discussion about this role or your job search, contact

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.