Data Architect

Ncounter
Frome Whitfield, Dorset, United Kingdom
Yesterday
£750 – £850 pd

Salary

£750 – £850 pd

Job Type
Contract
Work Pattern
Part-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Security Clearance
Required
Posted
22 Apr 2026 (Yesterday)

Data Architect

Ncounter is supporting a specialist consultancy delivering into highly sensitive National Security and Defence programmes, now seeking a DV Cleared Data Architect to join a high-impact transformation initiative. This contract requires 3 days per week onsite on the South Coast.

This role sits at the heart of complex, secure data environments, focusing on the design of scalable architectures that enable integration, governance, and analytics across mission-critical systems. You will work alongside senior stakeholders, optimisation leads and solution architects to ensure data structures are aligned to operational needs, while providing clear architectural direction within fast-paced programmes.

Key Responsibilities

• Design and implement secure, scalable data architectures across complex environments

• Define data models, standards and integration patterns across platforms

• Embed data governance, quality and compliance aligned to Defence standards

• Align data structures with operational tools, systems and user requirements

• Collaborate with solution architects and programme teams to deliver cohesive solutions

• Support full lifecycle delivery, from requirements through to deployment

What We’re Looking For

• Active DV clearance is essential

• Strong experience delivering data architecture within UK Defence or MOD environments

• Proven background operating across multiple security classifications

• Experience within consultancy or client-facing delivery roles

• Knowledge of cloud data platforms, particularly Azure and AWS

• Familiarity with data visualisation and analytics tooling such as Power BI or Qlik

• Strong stakeholder engagement skills across technical and non-technical audiences

This is a contract opportunity offering £(Apply online only) per day, working on programmes where data architecture is critical to operational success. You will play a key role in shaping secure data capabilities while influencing how organisations structure, govern and utilise data at scale.

If you hold active DV clearance and are looking to take on a high-impact contract within Defence, please get in touch to discuss further

Related Jobs

View all jobs

Data Architect

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

Data Architect

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

Data Architect

Damia Group Chiswick, W4 5PS, United Kingdom

Data Architect

VIQU IT Birmingham, United Kingdom

Data Architect

Damia Group London, United Kingdom

Data Architect - Palantir Foundry

VIQU IT London, United Kingdom
Contract

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.