Join Barclays as a Senior Data Solutions Architect, where you'll be responsible for designing and implementing scalable, secure, and cost-optimized data solutions across hybrid environments (AWS, Azure, and on-premises). This role requires deep expertise in modern data architectures, orchestration, governance, and cloud-native services, with a strong focus on enabling self-service data products and future AI-driven capabilities.
To be successful, you should have:
Cloud & Hybrid Data Architecture Expertise - Proven experience designing and implementing data platforms across AWS, Azure, and on-premises environments, leveraging services such as AWS Glue, Azure Data Factory, Databricks, Snowflake, and Redshift.
Data Orchestration & Governance - Strong knowledge of orchestration tools (e.g., Apache Airflow, Astronomer) and metadata/governance frameworks (e.g., Alation), including data lineage, quality, and security controls.
Solution Design for Scalability & AI Readiness - Ability to architect solutions optimized for GenAI and AI/ML workloads, ensuring separation of storage and compute, cost efficiency, and interoperability across multi-cloud ecosystems.
Other highly valued skills include:
Data Product Thinking & Domain-Oriented Design - Familiarity with Data Mesh principles and experience building reusable, high-quality data products.
FinOps & DevSecOps Practices - Understanding of cost optimization strategies and embedding security by design into data pipelines.
Observability & Monitoring - Hands-on experience implementing observability dashboards and proactive monitoring for data platforms.
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.
This role is based in Glasgow.
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