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

Nominate & Attend

Data Architect (DV Security Clearance)

CGI
Greater London
1 week ago
Create job alert

Position Description:

CGI’s Space, Defence, and Intelligence business unit is dedicated to delivering cutting-edge technical solutions that address the most complex challenges faced by government agencies. Our mission-critical systems are custom-built to ensure security, reliability, and innovation, helping our clients protect the nation and its people. We are currently seeking a Data Architect to join our Secure Innovation & Advisory team, working collaboratively with clients to deliver impactful solutions.

CGI was recognised in the Sunday Times Best Places to Work List and has been named one of the ‘World’s Best Employers’ by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a member not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.

This role offers an exciting opportunity to engage with groundbreaking technologies in a dynamic and rewarding environment. At CGI, we are deeply committed to the growth and development of our team members, offering extensive learning opportunities to help you stay at the forefront of an ever-evolving technology landscape. Our culture values innovation, collaboration, and ownership, making it an ideal environment for self-motivated individuals to thrive.

Please note, due to the highly secure nature of the project, this role is open only to UK Nationals (not dual nationals or visa holders) who hold or are eligible for HMG High-Level Clearance (HLC). While there is some flexibility for remote or hybrid work, onsite attendance at the specified location(s) will be required for secure system access.

Your future duties and responsibilities:

• Analyze client requirements to identify, assess, and select the best solution and technology options.
• Provide leadership and guidance for the end-to-end delivery of solutions, ensuring they meet client objectives and value.
• Collaborate closely with development teams to create hands-on insights into complex solution options.
• Identify emerging risks, costs, and opportunities, and develop responsive strategies to address them.
• Work with Agile delivery teams, providing guidance, standards, and constraints to meet clients' objectives and quality standards.
• Ensure the solutions are scalable, secure, and align with best practices.

Required qualifications to be successful in this role:

You will have extensive experience in Solution or Technical architecture and have a skillset which aligns to at least one of the below:
• Data
• Infrastructure (Networking)
• System Integration
• Cloud (AWS)

#LI-JS2

Skills:

Data Communication Protocols Data Communication Protocols Solutions Architecture Event Management Infrastructure architecture

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Solution Architect

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.