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

Nominate & Attend

Data Architect

La Fosse
Oxfordshire
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Solution Architect

Solution Architect

Data Architect

Data Architect


La Fosse have partnered with a cutting-edge research body to recruit a Data Architect. You'd be joining at a pivotal time as the current architecture maturity level is low, so there's a really opportunity to help to build this up and design the new modern data platform.


You'll work with cross-functional teams to define data models, standards, and architecture to support advanced analytics, AI-driven diagnostics, and interoperability across systems. This role is ideal for someone passionate about applying data architecture to real-world health and life sciences challenges.


Key Responsibilities

  • Define and deliver scalable data architectures, standards, and models
  • Translate complex requirements into robust design for research and operational use
  • Support data engineering teams with guidance, mentoring, and hands-on collaboration
  • Ensure data governance, quality, and compliance (including regulated environments)
  • Produce architecture artefacts and ensure alignment via governance processes
  • Contribute to a library of best practices, technical standards, and patterns
  • Optimise data flows, lifecycle, and integration across platforms


Experience Required

  • Proven experience designing modern data platforms
  • Strong understanding of data governance, cataloguing, and data lifecycle
  • Experience with cloud data platforms
  • Agile delivery experience and strong stakeholder communication
  • Experience architecting data in research or regulated healthcare settings


This is a hybrid role, requiring 3 days per week on site at the client's Oxford HQ.

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.