Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect

CACI Limited
City of London
1 week ago
Create job alert

Job Description:Data Architect

Location:Mainly remote working/London

Employment Type:Full-time

Due to the industries we work in, we require the successful candidate to be able to obtain high level security clearance. To qualify for this, you must be a British citizen and have lived permanently in the UK for the last 5 years.

About the Role

We are seeking an experienced Data Architect to join our growing architecture team. This role is ideal for someone with a strong background in data architecture, solution design, and enterprise integration who is eager to shape modern, scalable, and resilient systems. While experience with AWS and cloud platforms is valuable, the focus of this role is on designing data-driven architectures that meet complex business needs.

As a Data Architect, you will partner with business leaders, lead architects, and engineering teams to translate requirements into robust technical designs. You’ll define data and integration architectures, establish best practices, and guide delivery teams to ensure solutions are secure, performant and aligned with long-term business and technology strategies.

Key Responsibilities

  • Contribute to the design and documentation of end-to-end solution architectures with a strong emphasis on data platforms, integrations, and enterprise-scale systems.
  • Support the definition and evolution of data architectures, ensuring scalability, reliability, and consistency across applications and platforms.
  • Work with stakeholders to evaluate technical requirements and recommend fit-for-purpose solutions, leveraging cloud-native patterns and AWS services where appropriate.
  • Produce and maintain architecture artifacts, including reference architectures, technical diagrams, and architecture decision records.
  • Collaborate with engineers, developers, and delivery teams to ensure solutions are implemented in line with architectural designs.
  • Participate in proof-of-concepts (POCs) and technical evaluations of new tools, technologies, and platforms in the data and integration space.
  • Ensure solutions align with architectural standards, security policies, and regulatory compliance requirements.
  • Stay current with emerging trends in data architecture, integration, and cloud technologies, sharing knowledge and best practices with the wider team.

Skills & Experience

Required:

  • Strong experience in solution and data architecture, with a track record of designing and delivering enterprise-scale systems.
  • Hands-on knowledge of modern data platforms (e.g., data lakes, data warehouses, streaming architectures, APIs, event-driven systems).
  • Exposure to cloud platforms, ideally AWS (e.g., S3, RDS, Redshift, Lambda, IAM, Glue, Kinesis).
  • Solid understanding of integration patterns, system design, and enterprise data management principles.
  • Familiarity with security, compliance, and governance considerations in data and cloud environments.
  • Strong communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business language.

Why Apply?

  • 25 days holiday + bank holidays
  • Up to 5% employer pension contribution
  • Educational allowance, training programmes, certifications, conference attendance, and other activities to help employees stay current with new technologies and industry trends.
  • Flexible Working Arrangements

CACI is proud to be an equal opportunities employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favourably due to ethnic origin, age, sex, gender identity, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination.

As a Disability Confident employer, we will;

  • Provide reasonable adjustments in the recruitment process where requested (contact a member of the recruitment team on to discuss individual requirements further).
  • Offer people with health conditions and disabilities, meeting the minimum criteria for a role, an interview.
  • Our people are unique and we encourage, and support them, to be confident in contributing to our inclusion journey.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.