Data Architect

London
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Architect | Snowflake & AWS | £130k | Roadmap to Head of Engineering

Snowflake Data Architect - £550 Inside IR35- Hybrid

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Data Engineer

Data Engineer

Data Engineer

Data Architect - SC Cleared

Remote (UK-based)
£90,(Apply online only),000 per annum plus benefits
Permanent | Central Government Projects

Current SC clearance is essential for this role. Applicants without valid clearance cannot be considered.

We're hiring an experienced Data Architect to join a consultancy delivering strategic digital transformation projects for central government clients. This is a fully remote position, with occasional travel for key meetings.

In this senior-level role, you'll lead the design and delivery of enterprise data solutions that meet complex business and technical requirements-ensuring alignment to architectural standards, governance, and long-term strategic goals.

You'll work across multidisciplinary teams to shape data strategy, develop and maintain data models, guide solution architecture, and act as a trusted consultant to senior stakeholders. You'll also play a key role in capability development, pre-sales support, and mentoring.

Key Requirements

✅ Active SC Clearance
✅ Strong knowledge of M365 ecosystem, with experience in Power BI and Power Platform (Power Brick)
✅ Expertise in enterprise data modelling, architecture governance, and cloud-based data solutions
✅ Strong consultancy and stakeholder engagement skills
✅ Experience delivering data architecture within central government or secure environments
✅ Comfortable leading discussions on strategy, design patterns, and data governance

Desirable

TOGAF certification or DAMA CDMP

Experience in secure SDLC and regulatory environments (e.g., GDPR)

Familiarity with tools like Sparx Enterprise Architect

Join a high-performing team helping to shape data-driven public services. You'll be part of a supportive, expert environment delivering meaningful, long-term impact across government programmes.

Apply now to be considered for this remote opportunity in a fast-paced, mission-critical space

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.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

Jobs Careers

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

🍪 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.