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Barclays Logo Barclays · IT - Software Development

Lead Data Architect

India, Pune · Job Posted June 03, 2026
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Job Description

Join us as a 'Lead Data Architect' at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

Job Responsibility

  • To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability
  • Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards
  • Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues
  • Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested
  • Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth

Requirements

  • Minimum Graduate required/ bachelor’s degree
  • Deep understanding of data warehousing concepts such as fact/dimension tables, slowly changing dimensions, and data partitioning
  • Strong expertise in SQL Server Data Warehouse design, including dimensional modeling (star/snowflake schemas) and data architecture
  • Understand complex ETL/ SSIS pipelines to support data warehousing workflows and incremental loads
  • Strong understanding of SSAS (cubes/tabular) for high-performance analytics on warehouse data
  • Data Ingestion & Integration - ingestion patterns on‑prem → AW
  • AWS Core & Account Architecture
  • Cloud‑Native Data Lake Architecture – S3, Parquet, Ice Berg
  • Excellent SQL skill with AWS Data & Analytics Services - Glue , Athena
  • Experience in Redshift
  • Business Translation & Stakeholder Leadership
  • Enterprise Data Governance & Control Mindset

Nice to have

  • People Leadership
  • Technology Leadership
  • Risk, Resilience & Accountability
  • Operating Model & Ways‑of‑Working

What we offer

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