Senior Manager Architect - Data

Capital One Capital One · Banking · London, United Kingdom +1

Senior Manager Architect - Data role focused on shaping the architecture direction and evolution of a cloud-based data ecosystem for a financial services company. Responsibilities include defining technical standards, partnering with various teams, and enabling simplification and innovation in data processing, storage, and consumption for ML & AI.

What you'd actually do

  1. Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption
  2. Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem
  3. Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain
  4. Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value
  5. Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns

Skills

Required

  • Modern, Cloud scale Data Technologies
  • Distributed Data Processing architectures (Spark, PySpark, Python, Airflow)
  • ELT data processing
  • Data LakeHouses
  • Data Products
  • Streaming Data
  • Event Driven Design
  • Data Governance
  • AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)
  • Enterprise scale data applications architecture
  • ML & AI platform capabilities
  • Working knowledge of ML and Generative AI
  • Agentic AI based systems
  • Software development principles, patterns, and practices including CI/CD
  • Data Technology adoption
  • Data driven culture

Nice to have

  • Financial Services or Regulated sector experience

What the JD emphasized

  • Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation
  • Deep understanding & 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