Senior Data Architect with Presales exp (Data Architect II)

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

#UST

Skills

Data Engineering, AWS, Google Cloud Platform, Python, Apache Spark, Data Analysis, Snowflake, Microsoft Azure, SQL, Data Modeling, Databricks

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.