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Join us as a Data Architect in Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data Architect you should have experience with – Hands-on Data Architect / Data Engineer to design, build, and optimize modern data platforms that power enterprise analytics, automation, AI/ML workloads, and operational reporting. You’ll own end-to-end data architecture while partnering with product, analytics, and platform teams to deliver secure, reliable, and scalable data solutions.
Job Responsibility:
Support the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards
Spearhead the evolution of our digital landscape, driving innovation and excellence
Harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences
Own end-to-end data architecture while partnering with product, analytics, and platform teams to deliver secure, reliable, and scalable data solutions
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
Requirements:
Hands-on Data Architect / Data Engineer to design, build, and optimize modern data platforms that power enterprise analytics, automation, AI/ML workloads, and operational reporting
Data Architecture & Modelling: Dimensional modelling, 3NF, data vault basics
Big Data & Processing: Apache Spark, Databricks, Snowflake (warehousing, virtual warehouses, tasks, streams)
Cloud (AWS): S3, RDS, Lambda, Glue, IAM, CloudWatch (plus MSK/Kinesis is a strong plus)
Streaming: Kafka fundamentals
Scripting/Programming: Python for data engineering (unit tests, packaging, logging)
Design enterprise data architectures across data lakes, data warehouses, and operational data stores (ODS)
Build, orchestrate, and maintain ETL/ELT pipelines (batch & streaming) using modern tools and best practices
Implement data quality (DQ rules, anomaly detection), lineage, and observability (SLIs/SLOs, alerting)
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills