Experience in data architecture or enterprise data modelling
Understanding of banking products and risk frameworks
Knowledge of regulatory data requirements and financial markets
The role focuses on designing and implementing secure, resilient data solutions that balance technology risks against business delivery goals
Job Summary
The role focuses on designing and implementing secure, resilient data solutions that balance technology risks against business delivery goals.
Candidates will lead collaborative assignments and contribute to policy development while adhering to the Barclays values of Respect, Integrity, Service, Excellence, and Stewardship.
This position supports the evolution of the bank's target data architecture, ensuring data accuracy, security, and accessibility for internal and external stakeholders.
Matching Summary
The role focuses on designing and implementing secure, resilient data solutions that balance technology risks against business delivery goals.
Skills & Requirements
Must-have
Experience in data architecture or enterprise data modelling
Understanding of banking products and risk frameworks
Knowledge of regulatory data requirements and financial markets
Ability to identify technical debt and architectural challenges
Strong communication skills for cross-functional collaboration
Nice-to-have
Exposure to AWS cloud platforms including Lake Formation
Scripting skills in Python or Shell for automation
Familiarity with relational, columnar, and NoSQL databases
Willingness to learn evolving banking technologies
Experience in agile software engineering practices
Key Requirements
Experience in financial services or regulated environments
Working understanding of banking risk frameworks
Proven ability to influence decision making and advise leaders