Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• 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.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Vice President Expectations

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Embark on a transformative journey as a VP Cloud Data Architect.  At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. As a Data Architect within Consumer Credit Risk, you will be at the forefront of developing cutting-edge technology solutions that drive our risk and finance functions. This is more than just a technical role; it’s an opportunity to directly influence the bank’s financial stability and strategic decision-making, ensuring our compliance with regulatory standards while enhancing our ability to respond to market changes. In this role, you will have a tangible impact on Barclays’ long-term success, helping design solutions that improve resilience, optimize operational efficiency, and empower data-driven insights. Working closely with diverse teams across the organization, you’ll drive innovation, scalability, and reliability in platforms that safeguard the bank’s assets and protect our clients.

To be successful as a VP Cloud Data Architect, you should demonstrate:

• Ability in defining, designing, and delivering enterprise-scale data strategies and data management solutions leveraging sound architecture principles, approaches, and pattern
• Hands-on experience with modern data architecture patterns, including domain-driven design, event-driven architectures, stream processing, Lakehouse, service-based/APIs, data mesh, and/or data fabric
• Strong cloud migration and data management skills with emphasis on data privacy and security
• Deep architecture and engineering experience with expertise in: Cloud-native data platforms (Snowflake, Databricks, Dremio), relational and NoSQL databases, data warehouse, big data/data lake, master data management, data modelling, data integration, data quality and governance, data engineering, BI reporting and analytics, data science, ML/AI, Python, Spark, AWS
• Excellent interpersonal skills, written and verbal communication skills, with the abili