Senior Data Architect - Presales EXP

Role Description Senior Data Architect Location: Leeds- Hybrid working Permanent role We are looking for an experienced Senior Data Architect to lead the design and delivery of modern, scalable data platforms across cloud ecosystems including Azure, AWS, and GCP, leveraging technologies such as Snowflake and Databricks. The role requires strong hands-on expertise in large-scale data migrations and a proven track record of building, transforming, and modernising both greenfield and legacy data and analytics platforms. Key Attributes We're Looking For

• Strategic thinker with a strong focus on execution and delivery.
• Confident client-facing professional with the ability to influence senior stakeholders.
• Strong blend of hands-on technical expertise and architectural leadership.
• Ability to collaborate effectively across both business and technology teams.
• Proven experience driving data platform transformation and cloud adoption initiatives. Key Responsibilities
• Define and implement enterprise data architecture aligned with business and technology strategy Lead large-scale data migration and legacy modernisation initiatives
• Architect and deliver data engineering, analytics, and AI-driven solutions
• Design solutions leveraging hyperscalers (Azure, AWS, GCP) and modern platforms (Snowflake, Databricks)
• Drive solutioning and pre-sales activities including RFIs, RFPs, proposals, and client presentations Build and scale data practice capabilities and delivery frameworks
• Provide strategic guidance on cloud adoption, data strategy, governance, and advanced analytics Required Skills & Experience
• 15+ years of experience in data architecture, engineering, and analytics
• Strong expertise in Azure, AWS, and GCP environments
• Proven experience with modern data platforms (Snowflake, Databricks)
• Experience delivering greenfield and brownfield data platform implementations
• Strong track record in pre-sales and solutioning (RFIs, RFPs, client engagement)
• Hands-on exposure to AI/ML within data ecosystems
• Experience building, leading, and mentoring data teams
• Excellent stakeholder management, communication, and leadership skills Key Technologies Cloud: Azure, AWS, GCP Data Platforms: Snowflake, Databricks Data & Analytics: SQL, Python, Spark, AI/ML Profile Skills: Enterprise Architecture,Data architecture,Data engineering,Data analytics,Data migration,Data governance,RFP,Proposals Apply with your updated CV for an immediate discussion with Talent team Skills Data Engineering, AWS, Google Cloud Platform, Python, Apache Spark, Data Analysis, Snowflake, Microsoft Azure, SQL, Data Modeling, Databricks