Ofertas › Capital One UK
Capital One UK · LONDON, United Kingdom · £62,000 - 102,000 per year
Salary: £62,000 - 102,000 per year Requirements: Demonstrable experience as a hands-on Senior Manager Architect in a large, complex data-led organisation Deep understanding and hands-on experience with modern, cloud-scale data technologies, including distributed data processing architectures (Spark, PySpark, Python, Airflow) Experience with ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML and AI Expertise in streaming data, event-driven design, data governance, and the AWS cloud technology stack (e.g. Glue, ServerLess, DynamoDB) Track record of leading the architecture vision, design, and implementation of enterprise-scale data applications, with a focus on distributed data processing systems, Data LakeHouse, Data Products, streaming data, and ML and AI platform capabilities Working knowledge of ML and Generative AI, including agentic AI-based systems within the architecture and software development lifecycle Excellent communication skills and the ability to navigate 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 embedding and scaling this in a large enterprise setting 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 to adapt your approach to meet the needs of the team, initiative, or product, and ability to build consensus across stakeholders Experience in Financial Services or a regulated sector is beneficial Responsibilities: Shape the architecture direction and evolution of our data ecosystem across cloud-scale distributed data processing, storage, and curated data consumption Influence senior stakeholders, internal customers, and enterprise partners to gain consensus on key technology decisions and architecture direction Own and evolve architecture artefacts, including reference architectures, Architecture Decision Records, and technical standards for our domain Partner with Product Management, Engineering, Cyber, and our user community to solve challenges through data technology and unlock business value Advocate for our data ecosystem and data technology, driving awareness and usage aligned to enterprise architecture standards and patterns Enable simplification across our architecture, processes, an