Data Architect; Delivery Manager

Overview

We are looking for a seasoned Senior Data Architect to lead the design and delivery of modern, scalable data platforms across major cloud providers, Azure, AWS, and GCP, using technologies such as Snowflake and Databricks. This role is based in London or Leeds and follows a permanent, hybrid working pattern (3 days onsite).

This role is ideal for a hands-on data leader with a proven track record in architecting large-scale data migration programs and modernising enterprise data ecosystems. You’ll play a critical role in shaping our cloud data strategy and enabling next-generation analytics and AI-driven insights across the organisation.

• Define and implement enterprise-level data and technology architectures aligned with business strategy.
• Lead large-scale data migration and legacy platform modernisation initiatives.
• Architect and deliver data engineering, analytics, and AI-enabled solutions across hyperscalers (Azure, AWS, GCP) and tools such as Snowflake and Databricks.
• Support pre-sales and business development activities — RFIs, RFPs, proposals, and client presentations.
• Drive the development of data practices, frameworks, and reusable assets to strengthen delivery capabilities.
• Provide expert guidance on cloud adoption, data governance, advanced analytics, and AI/ML integration.
• Collaborate with cross-functional teams to ensure data solutions are secure, scalable, and business-aligned.

• Minimum of 10 years’ experience in data architecture, engineering, and analytics delivery.
• Proven expertise in Azure, AWS, and GCP environments.
• Strong experience implementing both greenfield and brownfield data platforms.
• Demonstrated success in solutioning and pre-sales engagements (RFIs, RFPs, proposals).
• Hands-on exposure to AI/ML projects and their integration within data platforms.
• Experience in building, mentoring, and leading high-performing data teams.
• Excellent stakeholder management, communication, and leadership abilities.

• Cloud:
  Azure, AWS, GCP
• Data Platforms:
  Snowflake, Databricks
• Data Integration & Analytics: SQL, Python, Spark, AI/ML

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job function:
  Engineering and Information Technology
• Industries: IT Services and IT Consulting