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About the Role

Shape the architectural technical direction of large, complex Data transformation initiatives and contribute to creating a next-generation, cloud-based data ecosystem to unlock the power of data, increase financial inclusion, and deliver transformative, real-time, intelligent experiences to customers.

Responsibilities

• Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption.
• Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem.
• Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain.
• Partner with Product Management, Engineering, Cyber and user community to solve challenges through Data Technology, unlocking business value.
• Advocate for the data ecosystem and data technology, driving awareness and usage aligned to Enterprise architecture standards and patterns.
• Enable simplification across architecture, processes and technologies by encouraging UK standardisation, reuse of industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms.
• Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice.
• Collaborate with peers in UK architecture and engage in the wider Enterprise architecture group.

Requirements

• Demonstrable experience as a hands-on Senior Manager Architect in a large, complex data-led organisation.
• Deep understanding and hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI.
• Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB).
• A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities.
• Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle.
• Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment.
• Proficiency in software development principles, patterns, and practices including CI/CD.
• Passion for growing architectural and data-led thinking, with experience in embedding & scaling this within a large Enterprise setting.
• An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross-functional organisation.
• Flexibility, adapting approach to meet needs, soliciting differing views, willingness to change mind and perspective, and adept at building consensus.
• Experience in Financial Services or Regulated sector beneficial.

Skills

• Data Architecture
• Cloud-scale Distributed Data Processing
• Data Storage
• Curated Data Consumption
• Spark
• PySpark
• Python
• Airflow
• ELT
• Data LakeHouses
• Data Products
• ML
• AI
• Streaming Data
• Event Driven Design
• Data Governance
• AWS Cloud Technology stack
• Glue
• ServerLess
• DynamoDB
• Generative AI
• Agentic AI
• Software Development Principles
• CI/CD

Location

• London
• Nottingham

Work Type

• Hybrid
• 3 days in-office (Tuesday-Thursday)
• 2 days remote
• Permanent

Experience Level

• Senior Manager
• Senior Manager Architect

Benefits

• Access to up to £5,000 in funding for external qualifications
• Competitive pension
• Performance-based bonus schemes
• 25 days of annual leave, increasing with tenure
• Option to buy 5 additional days of leave
• Private medical insurance
• Enhanced parental leave

About the Company

• White Collar Factory (95009), United Kingdom, London, London
• Our Mission is to be a force for good in lending.
• Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list.
• Capital One’s Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.
• Our Nottingham head office features an on-site gym, restaurant and dedicated Learning Loft.
• Our London office boasts a rooftop running track and coffee bar.

Equal Opportunity

• We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.
• We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.
• Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates.
• Capital One is committed to diversity in the workplace.
• If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
• For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
• Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
• Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).