Senior Data Architect

Salary: £65,000 - 105,000 per year

Requirements:

• Proven experience in enterprise data architecture, cloud data engineering and large-scale platform design within complex environments.
• Deep knowledge of data modelling practices, including conceptual, logical and physical modelling, with experience designing architectures that support analytics and AI use cases.
• Hands-on experience with cloud ecosystems (AWS, Azure or GCP), modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate.
• Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption.
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences and guide strategic architectural decisions.
• Industry-recognised cloud or data architecture certifications, such as AWS, Azure, GCP or Databricks.
• Experience designing data lakes, lakehouses or large-scale cloud migration programmes.
• Familiarity with graph technologies, semantic data modelling, knowledge graphs or architectures supporting AI and machine learning workloads.
• Financial Services experience, including working with senior stakeholders in complex regulatory environments.
• Experience leading architecture teams, developing reusable architecture patterns or contributing to data architecture propositions and thought leadership.

Responsibilities:

• Lead agile consulting engagements focused on modern data architecture, cloud transformation and the design of scalable platforms that support analytics and AI workloads.
• Define and implement enterprise data strategies across programmes and business units, ensuring architectures are scalable, secure, governed and ready to support emerging AI capabilities.
• Design and deliver cloud-native data platforms using AWS, Azure or GCP, leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.
• Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.
• Act as a trusted advisor to clients, translating complex technical concepts into business outcomes while collaborating with multidisciplinary teams across architecture, engineering, analytics and AI.

Technologies:

• AI
• AWS
• Azure
• Cloud
• Databricks
• GCP
• Support
• Machine Learning
• Security
• Architect

More:

We are Capco, a consulting firm based in London with a hybrid working model, focused on Data & Analytics and serving Financial Services clients. We offer high-impact technology solutions for Tier 1 financial institutions in a collaborative, flat and entrepreneurial culture. We support continuous learning, training and industry certifications, and provide a wide range of benefits including discretionary bonus, competitive pension, health insurance, life insurance, critical illness cover, mental health support, family-friendly leave, backup care, annual leave flexibility, healthcare access and other extra perks. We are committed to inclusion, accessibility and our #BeYourselfAtWork culture, encouraging individuality and collaboration across our teams and client work.

last updated 35 week of 2026