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Capco

Senior Data Architect

Capco is hiring a Senior Data Architect in London, United Kingdom. Level rates it ; you can apply on Capco.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks and AI safety among its tools and skills.
  • Level classes it as a senior role.
  • Capco has 702 other open roles on Level.

AI in this role

databricks
ai-safety
Senior Data Architect

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Design the blueprint. Architect the future. Empower data transformation.

The Role

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.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • 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.

Benefits

  • Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
  • Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders.
  • Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
  • Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
  • 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.
  • Healthcare Access: 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. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration—a mindset that shapes how we work with clients and each other every day.

 

How we rate this

Senior Data Architect at Capco rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyDatabricks

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Safety and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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