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Data architecture manager

Basingstoke
UST
Architecture
Posted: 19 June
The role

Data Architecture Manager

UST are currently recruiting for a Data Architecture Manager To help shape the architectural technical direction of large, complex Data transformation project



  • Location Nottingham or London
  • Hybrid 3 days per week in the office


About the Role

UST are looking for a Data Architecture Manager who will be 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.


The successful candidate will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates.


What you’ll do

  • 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 our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value
  • Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns
  • Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case
  • Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation
  • Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group


What you’ll bring

  • Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex dataled 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, DataLakeHouse, 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 in 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.
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