Senior Data Architect
Capco · UK - London · 2026-06-09
About this role
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/lead consulting role, you’ll guide clients through their data transformation journeys - defining strategy, designing architecture, and building scalable, cloud-based platforms. You’ll also contribute to shaping Capco’s modern data architecture offerings.
What You’ll Do
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Lead agile consulting projects focused on modern data architecture and cloud transformation
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Define and implement scalable enterprise data strategies across programmes and business units
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Design and deliver data platforms using cloud-native technologies on AWS, Azure, or GCP
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Drive integration of data governance, cataloguing, privacy, and metadata capabilities
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Act as a subject matter expert to clients, presenting technical concepts in a business context
What We’re Looking For
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Proven experience in data architecture, cloud data engineering, and enterprise platform design
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Deep knowledge of modelling practices including contextual, logical, and physical data modelling
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Hands-on experience with cloud-based data ecosystems (AWS, Azure, GCP) and modern data stacks
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Understanding of cloud data migration, data management tools, and security frameworks
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Strong communication skills to engage stakeholders across technical and non-technical teams
Bonus Points For
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Data or cloud architecture certifications (e.g., AWS, Azure, GCP, Databricks)
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Experience in data lake design and large-scale data migrations
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Familiarity with graph computing and semantic data modelling
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Background in Financial Services with stakeholder management in complex environments
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Ability to lead teams and contribute to the development of Capco’s data architecture propositions
Why Join Capco
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Deliver…
Skills asked for
- agile
- aws
- azure
- gcp
- databricks
- machine learning
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