Overview
Barclays, Glasgow, United Kingdom – Senior Data Solutions Architect. Based in Glasgow, this role focuses on designing and implementing scalable, secure, and cost-optimized data solutions across hybrid environments (AWS, Azure, and on-premises). Requires deep expertise in modern data architectures, orchestration, governance, and cloud-native services, with emphasis on enabling self-service data products and future AI-driven capabilities.
Responsibilities
* Design and develop data platforms and products that can evolve to meet business requirements, using technologies and platforms appropriate to cloud and on-premises environments.
* Apply workload placement strategies to maximize cloud capabilities such as elasticity, serverless architectures, and containerisation.
* Incorporate security principles (defense in depth, reduced blast radius) to meet resiliency expectations and ensure appropriate balance of risk and controls.
* Adopt standardized solutions where suitable; contribute to ongoing evolution of non-standard solutions.
* Provide fault-finding and performance support to operational teams using available tooling.
* Assess risk, capacity, and cost impact for architecture designs, including estimates for project changes and ongoing run costs.
* Develop architecture artifacts required for governance processes (architecture, privacy, security, records management).
* Contribute to strategy and governance discussions, ensuring alignment with business goals and technology strategies.
Qualifications / Skills
* Cloud & Hybrid Data Architecture Expertise – Proven experience designing and implementing data platforms across AWS, Azure, and on‑premises, using 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), with 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.
* Data Product Thinking & Domain‑Oriented Design – Familiarity with Data Mesh principles and building reusable, high‑quality data products.
* FinOps & DevSecOps – Understanding of cost optimization and security-by-design in data pipelines.
* Observability & Monitoring – Experience implementing dashboards and proactive monitoring for data platforms.
Barclays Values & Leadership Expectations
* Demonstrate Barclays Values (Respect, Integrity, Service, Excellence, Stewardship) and Barclays Mindset (Empower, Challenge, Drive).
* For leaders: set strategy, manage resources and policies, drive continuous improvement, and lead teams with appropriate leadership behaviors.
* For individual contributors: act as a subject-matter expert, guide technical direction, mentor others, and influence long-term decisions.
* Collaborate with stakeholders across the organization to deliver technology that balances risk and business value.
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