Data Architect

We are seeking a Data Architect to support the successful delivery of Location Strategy projects. You will be responsible for planning, budgeting, and ensuring agreed quality and governance standards.

Purpose of the role As a Data Architect at Barclays, you will design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements.

Accountabilities

• Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling.
• Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities.
• Best practice designs incorporating security principles that meet the Bank’s resiliency expectations.
• Solutions that appropriately balance risks and controls to deliver the agreed business and technology value.
• Adoption of standardised solutions where they fit.
• Fault finding and performance issues support to operational support teams, leveraging available tooling.
• Solution design impact assessment in terms of risk, capacity, and cost impact.
• Development of the requisite architecture inputs required to comply with the banks governance processes.

Assistant Vice President Expectations

• Advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness.
• Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function.
• Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes.

Basic/ Essential Qualifications:

• Strong experience in AWS data engineering (S3, Glue, EMR, Athena, IAM).
• Advanced Python development skills for data engineering.
• Strong hands-on experience with Apache Spark / PySpark.
• Proven experience with Databricks (development, optimisation, notebooks, jobs).
• Hands-on experience with Apache Airflow and Astronomer.
• Strong SQL skills and experience working with large datasets.
• Experience with CI/CD, Git-based version control, and DevOps practices for data platforms.

Data & Platform Knowledge

• Solid understanding of data modelling, lakehouse architecture, and analytics-ready data design.
• Experience implementing data quality, validation, and reconciliation frameworks.
• Familiarity with metadata, lineage, and data governance concepts.

Banking / Enterprise Experience (Preferred)

• Experience working in financial services or regulated environments.
• Understanding of risk, controls, and non-functional requirements (resilience, security, audit).

Leadership & Behaviours (AVP Expectations)

• Demonstrates ownership and accountability for technical deliverables.
• Strong problem-solving and analytical mindset.
• Effective communicator across technical and non-technical stakeholders.
• Mentors junior engineers and promotes engineering best practices.
• Champions engineering excellence, automation, and continuous improvement.