At a Glance
- Tasks: Lead data architecture initiatives and guide clients through their data transformation journeys.
- Company: Capco, a forward-thinking consultancy in financial services.
- Benefits: Competitive salary, discretionary bonuses, health insurance, and 5 weeks holiday.
- Other info: Continuous learning opportunities and a supportive team environment.
- Why this job: Shape the future of digital transformation while working with cutting-edge technologies.
- Qualifications: Experience in data architecture, cloud engineering, and strong communication skills.
The predicted salary is between 72000 - 88000 £ per year.
Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Financial Services clients. In this senior consulting role, you'll guide clients through their data transformation journeys—defining strategy, designing architecture and building scalable, cloud-based platforms. You'll help organisations create modern data foundations that enable advanced analytics, AI and future digital capabilities, while championing AI-enabled ways of working and responsible architecture practices.
What You'll Do
- Lead agile consulting engagements focused on modern data architecture, cloud transformation and the design of scalable platforms that support analytics and AI workloads.
- Define and implement enterprise data strategies across programmes and business units, ensuring architectures are scalable, secure, governed and ready to support emerging AI capabilities.
- Design and deliver cloud-native data platforms using AWS, Azure or GCP, leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.
- Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.
- Act as a trusted advisor to clients, translating complex technical concepts into business outcomes while collaborating with multidisciplinary teams across architecture, engineering, analytics and AI.
What We're Looking For
- Proven experience in enterprise data architecture, cloud data engineering and large-scale platform design within complex environments.
- Deep knowledge of data modelling practices, including conceptual, logical and physical modelling, with experience designing architectures that support analytics and AI use cases.
- Hands-on experience with cloud ecosystems (AWS, Azure or GCP), modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate.
- Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption.
- Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences and guide strategic architectural decisions.
Bonus Points For
- Industry-recognised cloud or data architecture certifications, such as AWS, Azure, GCP or Databricks.
- Experience designing data lakes, lakehouses or large-scale cloud migration programmes.
- Familiarity with graph technologies, semantic data modelling, knowledge graphs or architectures supporting AI and machine learning workloads.
- Financial Services experience, including working with senior stakeholders in complex regulatory environments.
- Experience leading architecture teams, developing reusable architecture patterns or contributing to data architecture propositions and thought leadership.
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions.
- Access continuous learning, training, and industry certifications.
- Be part of a team shaping the future of digital financial services.
- Help shape the future of digital transformation across FS & Energy.
- Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
- Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
- Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Business Coach assigned from Day One to help accelerate your development.
- Convenient online GP services.
- Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.
Inclusion at Capco
We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know—we'll be happy to help.
Service Architect (Data Architect) in London employer: Capco
Capco is an excellent employer for those looking to make a significant impact in the banking sector, particularly in London where innovation meets tradition. With a strong focus on employee growth through professional training and a supportive work culture that values collaboration and stakeholder engagement, Capco ensures that its team members are well-equipped to lead transformative projects. The hybrid working model further enhances work-life balance, making it an attractive place for professionals seeking meaningful and rewarding employment.
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We think this is how you could land Service Architect (Data Architect) in London
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We think you need these skills to ace Service Architect (Data Architect) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
