Data Architect

Gleeson Recruitment Group
Solihull
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect - Bristol - Hybrid Opportunity

Data Architect – Multi-Cloud – Eligible for Security Clearance

Job Description

Data Architect - Financial Services - Up to £73K

Solihull - Hybrid working (3 days per week onsite)

We're partnering with a forward-thinking, highly regulated organisation that's investing heavily in its data capability - and they're looking for a Data Architect to play a pivotal role in defining and delivering their data vision.

This is a high-impact position where you'll influence long-term strategy, modernise architecture, and help shape a best-in-class data platform.

The role:

As a key member of the data leadership ecosystem, you'll:

  • Drive the data vision and design architecture aligned with enterprise principles and long-term business objectives
  • Define and deliver best-in-class architecture across data platforms, management, modelling, quality, and storage
  • Partner with IT, Data Office, business stakeholders, analysts and data science teams to translate consumer needs into scalable solutions
  • Develop conceptual, logical and physical data models to support analytics, APIs and advanced data use cases
  • Identify limitations in legacy models and design clear transition paths to target-state architecture
  • Establish and govern data standards, processes and guidelines to ensure robust data quality
  • Evaluate and recommend emerging technologies across data management and analytics
  • Contribute to training and upskilling initiatives across architecture and data disciplines

Experience needed:

  • Proven experience designing enterprise-level data architectures in complex, regulated environments
  • Strong expertise in data modelling (conceptual, logical, physical)
  • Experience building or modernising data platforms
  • Deep understanding of data governance, quality frameworks and regulatory compliance (e.G. GDPR, BCBS239 or similar)
  • Ability to operate strategically while remaining hands-on when required
  • Confident stakeholder engagement skills across technical and non-technical audiences

Please apply asap if interested - Glee IT - Data architect

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

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.

Products

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.