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Barclays Logo Barclays · IT - Software Development

Senior Data Architect

United Kingdom, London · Job Posted July 13, 2026
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Job Description

Join us at Barclays as a Senior Data Architect. We are seeking a highly experienced and forward-thinking Senior Data Architect to lead the design, evolution, and governance of our enterprise data landscape. This is a pivotal role where you will shape data strategy, define architectural standards, and ensure our platforms are scalable, resilient, and aligned with business goals.

Job Responsibility

  • Lead enterprise data architecture decisions, defining standards, principles, and reference architectures that balance performance, scalability, and resilience
  • To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders
  • Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan
  • Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage
  • Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information
  • Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress
  • Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access
  • Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports
  • Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio
  • Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards

Requirements

  • Deep expertise in cloud data architecture and distributed computing paradigms, with strong hands-on background in AWS data platforms, including Glue, Lambda, S3, Redshift, Athena, and Databricks
  • Implement modern architectural patterns including Lakehouse and event-driven architectures to support diverse data use cases
  • Establish and enforce data modelling standards across conceptual, logical, and physical layers, ensuring consistency and reusability
  • Enable the delivery of high-quality, analytics-ready data assets across the organisation
  • Experience leading DevOps and CI/CD strategies for data platforms, using tools such as Jenkins and GitLab to embed automation, quality, and reliability into pipelines
  • Strong understanding of data governance, metadata management, data quality frameworks, and data mesh concepts, with the ability to drive enterprise-wide adoption
  • Experience supporting machine learning and AI workloads, including model training, inference pipelines, or feature engineering, in collaboration with Data Science or AI teams

What we offer

  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
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