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

Senior Solutions Architect

MLOps Field Engineer

Integrator Eng

Staff Machine Learning Engineer

Data Engineering Manager

Senior Data Engineer (GCP)

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.