Senior Data Lead - Cloud Data Architecture

About the role

Barclays is looking for a Senior Data Lead to build and maintain the systems that collect, store, process and analyse data, such as data pipelines, data warehouses and data lakes, so that all data is accurate, accessible and secure. The role works hands-on with AWS technologies to design and engineer scalable, secure solutions, supporting data architecture strategy, data modelling standards, platform evolution and engineering excellence. It is based in the Prague office.

Key responsibilities

• Build and maintain data architectures and pipelines that transfer and process durable, complete and consistent data.
• Design and implement data warehouses and data lakes that handle the right data volumes and velocity and follow security measures.
• Develop processing and analysis algorithms suited to the data's complexity and volume.
• Collaborate with data scientists to build and deploy machine learning models.
• Contribute to or set strategy, plan resources and budgets, manage policies and processes, and advise stakeholders and senior management.
• Manage and mitigate risks, strengthen controls and support the control and governance agenda.
• Lead collaborative, multi-year assignments, train and coach less experienced specialists, and balance short- and long-term goals.

Required profile

• Experience leading enterprise data architecture decisions, defining standards and reference architectures, and balancing performance and resilience.
• Deep expertise in cloud data architecture and distributed computing, with extensive hands-on experience in AWS data platforms.
• Demonstrated ability to define and govern data architecture standards and engineering frameworks across multiple teams.
• Ability to guide teams on performance optimization and scalable design, and to build trusted partnerships with internal and external stakeholders.

Required skills

• AWS data platforms: Glue, Lambda, S3, Redshift, Athena and Databricks.
• Data modelling: dimensional modelling, schema evolution and design patterns for analytics and reporting.
• Advanced Python, PySpark and SQL.
• Nice to have: DevOps and CI/CD (Jenkins, GitLab), Power BI and Tableau, ML/AI workload support, cloud security and IAM (e.g. Immuta), DBT and analytics engineering.

What we offer

• Salary range of CZK 1,884,000 to CZK 2,496,000 per year (base salary only).
• Eligibility for an incentive award.
• Country-specific benefits for Barclays employees.