Senior Data Solutions Architect

Barclays is seeking a highly skilled Senior Data Solutions Architect to join their dynamic team in Glasgow. This is an exceptional opportunity for a seasoned professional to shape the future of data at a leading financial institution. If you're passionate about building robust, scalable, and secure data solutions that drive innovation, this role is for you.

As a Senior Data Solutions Architect, you will be at the forefront of designing and implementing cutting-edge data platforms that span hybrid environments, including AWS, Azure, and on-premises infrastructure. Your expertise will be crucial in enabling self-service data products and paving the way for advanced AI-driven capabilities.

Key Advantages for Your Career Path:

• Strategic Impact: Play a pivotal role in defining and implementing modern data architectures that directly influence business strategy and drive technological advancement within a globally recognized organization.
• Cutting-Edge Technology: Work with a comprehensive suite of modern data technologies and cloud-native services, including AWS Glue, Azure Data Factory, Databricks, Snowflake, Redshift, Apache Airflow, and Alation, ensuring you stay at the leading edge of your field.
• AI & GenAI Focus: Gain invaluable experience in architecting solutions specifically for Generative AI and AI/ML workloads, positioning you at the forefront of one of the most exciting areas in technology.
• Data Product Development: Contribute to the development of high-quality, reusable data products, aligning with Data Mesh principles and enhancing your understanding of data as a strategic asset.
• FinOps & DevSecOps Exposure: Develop a strong understanding of cost optimization strategies and embed security best practices into data pipelines, crucial skills in today's technology landscape.
• Global Reach: Be part of a large, international organization, offering opportunities for collaboration, knowledge sharing, and potential career progression within Barclays.
• Professional Development: The role emphasizes continuous improvement, strategic thinking, and the application of digital and technology expertise, fostering significant professional growth.

Key Considerations for Potential Candidates:

• Deep Technical Expertise: A strong foundation in cloud and hybrid data architecture is essential, with proven experience in designing and implementing data platforms across AWS, Azure, and on-premises.
• Orchestration & Governance Mastery: Proficiency in data orchestration tools and a solid understanding of metadata and governance frameworks, including data lineage, quality, and security, are critical.
• Scalability & AI Readiness: The ability to architect solutions for scalability, cost-efficiency, and AI readiness, including the separation of storage and compute, is a key requirement.
• Data Product Mindset: While Data Mesh experience is highly valued, a strong data product thinking approach is crucial for success in this role.
• Risk & Control Acumen: Candidates will be assessed on their understanding and application of risk and controls, a fundamental aspect of working within the financial services industry.
• Strategic & Business Acumen: Beyond technical skills, you'll need to demonstrate strategic thinking, business acumen, and the ability to translate complex technical solutions into business value.
• Leadership Potential: Depending on the specific track, this role may involve leadership responsibilities, requiring the ability to set strategy, drive change, and develop others, or function as a subject matter expert guiding technical direction.

This role offers a compelling blend of technical challenge and strategic influence. By joining Barclays as a Senior Data Solutions Architect, you will not only contribute to critical business objectives but also significantly advance your career in the rapidly evolving data and AI landscape.