Data Architect

SoCode
Cambridge, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Architect

Experis Croydon, London, United Kingdom
£700 – £750 pd Hybrid Clearance Required

Data Architect

Triad Milton Keynes, Buckinghamshire, United Kingdom
£75,000 – £80,000 pa Hybrid Clearance Required

Data Architect

Ncounter Frome Whitfield, Dorset, United Kingdom
£750 – £850 pd Hybrid Clearance Required

Data Architect

Qualient Technology Solutions UK Limited London, United Kingdom
£70,000 – £120,000 pa On-site

Data Architect

Damia Group Chiswick, London, W4 5PS, United Kingdom
£70,000 – £90,000 pa

Data Architect

Damia Group Chiswick, W4 5PS, United Kingdom
Posted
13 Mar 2026 (Last month)

We’re working with an organisation looking to bring in a Technical Architect with a strong data focus to help shape and guide the strategy of a growing data platform environment.

This role is ideal for someone who enjoys sitting close to the technology while influencing the bigger architectural direction. You’ll play a key part in defining how the organisation approaches modern data platforms, bringing structure, governance, and strategic oversight to an environment where multiple teams are developing solutions.

You’ll work closely with platform engineers, solution architects, and product owners, helping ensure that new solutions align with a clear and scalable platform strategy.

What You’ll Be Doing

Owning and shaping the data platform strategy

Providing architectural guidance and governance across data initiatives

Working closely with engineering and product teams to ensure solutions align with the wider platform vision

Supporting the design of modern enterprise data architectures

Helping bring clarity and structure to a growing and evolving data ecosystem

Influencing technical decisions while staying close to the implementationTechnology Environment The platform landscape includes technologies and concepts such as:

Databricks

Data Fabric / Data Mesh principles

Hive / HiveQL

Event-driven data architectures

Enterprise data platformsExperience with these technologies, or the ability to understand and guide teams working with them, will be important.

What We’re Looking For

Experience working as a Technical Architect, Data Architect, or similar role

Strong understanding of modern data platforms and data architecture principles

Ability to define strategy while also engaging with technical delivery teams

Experience providing architectural guidance and governance

Strong stakeholder engagement skills

Someone comfortable working in an environment where data maturity is still developing and strategic direction needs shapingWhy This Role? This is a great opportunity for someone who enjoys bringing clarity and direction to complex technical environments and helping organisations mature their approach to data platforms.

You’ll have the opportunity to influence strategy, guide teams, and shape the future of the organisation’s 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.

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.

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.

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.