About the role
Location: London/ LeedsImmediate startRole OverviewWe are seeking a seasoned Senior Data Architect to lead the design and delivery of modern, scalable data platforms across hyperscalers (Azure, AWS, GCP) and advanced technologies such as Snowflake and Databricks.This role requires deep hands-on expertise in large-scale data migration, along with experience in building and modernising both greenfield and brownfield data and analytics platforms.Key Responsibilities Define and implement enterprise data architecture aligned with business and technology strategyLead large-scale data migration and legacy modernisation initiativesArchitect and deliver data engineering, analytics, and AI-driven solutionsDesign solutions leveraging hyperscalers (Azure, AWS, GCP) and modern platforms (Snowflake, Databricks)Drive solutioning and pre-sales activities including RFIs, RFPs, proposals, and client presentationsBuild and scale data practice capabilities and delivery frameworksProvide strategic guidance on cloud adoption, data strategy, governance, and advanced analyticsRequired Skills & Experience 15+ years of experience in data architecture, engineering, and analyticsStrong expertise in Azure, AWS, and GCP environmentsProven experience with modern data platforms (Snowflake, Databricks)Experience delivering greenfield and brownfield data platform implementationsStrong track record in pre-sales and solutioning (RFIs, RFPs, client engagement)Hands-on exposure to AI/ML within data ecosystemsExperience building, leading, and mentoring data teamsExcellent stakeholder management, communication, and leadership skills Key Technologies Cloud: Azure, AWS, GCPData Platforms: Snowflake, DatabricksData & Analytics: SQL, Python, Spark, AI/MLProfile We’re Looking ForStrategic thinker with strong delivery focusClient-facing with the ability to influence senior stakeholdersStrong balance of hands-on expertise and architectural leadershipAbility to operate across business and technology teams#UST
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