Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of Data Architecture

Wolverhampton
7 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering

Head of Data (Senior Data Scientist)

Head Of Data Science

Data Analyst

Head of Data Engineering & Platform Architecture

Head of Data Engineering

Head of Data Architecture

Our trusted partner is hiring a Head of Data Architecture to lead the data architectural strategy as our client moves from legacy on-premise data into a cloud-first data approach. Our client is seeking a people manager with recent architecture capabilities to deliver new designs & changes to existing / new business data solutions leveraging tools such as Databricks, Datalakes, Synapse, and ER Studio with experience in Azure or AWS. Our client is offering a basic salary of £100,000 to £120,000 + 40% LTIP bonus + car allowance to be based in Chatham or Wolverhampton on a hybrid basis (some meetings can also be in London).

This is an exciting/challenging opportunity. You will lead the data architecture function, set the architectural direction, and establish the enterprise data catalog during a pivotal period in our client's history.

Role and Responsibilities:

Define and maintain the target data architecture and road map (including the build-out of enterprise data platforms and increased use of cloud technologies)
Work with senior stakeholders across our client to drive adoption of the target data architecture
Establish data architecture frameworks, standards and patterns that ensure consistent wide storage, consumption, and distribution of data
Lead the scoping, and initial pre-project design of candidate data projects
Develop and own key data architecture outputs, including a catalog of authoritative sources, ensuring technical design documentation and appropriate design approval process is followed
Recruit and lead a small but high-performing team of data architects and data analystsEssential experience

Recent head of or senior management of a data architecture environment, preferably within Financial Services, is a must.
Strong knowledge of data solutions and an ability to translate this into solutions for the broader business is essential
Recent exposure to modern data architectures using Azure Databricks, Synapse, ER studio etc, is a must-have
Domain experience in a regulated environment, insurance, finance, or energy is a must-have
Strong understanding and experience of cloud data architectures in Azure or AWS is a must-haveBenefits Package:

£120,000 circa salary / 40% LTIP Bonus / Car Allowance / Excellent Pension / Hybrid working / 30 Days Holiday / Medical Cover / Life CoverHead of Data Architecture

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.