Senior Data Architect with Presales exp (Data Architect II)

UST Global
Nottingham, UK
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Big Data Data Architecture Information Engineering Data Governance Data Infrastructure Data Migration Dataspaces Python (Programming Language)
+10 more
SQL Databases Google Cloud Cloud Platform System Snowflake Apache Spark Data Strategy Data Analytics Data Management Cloud Migration Databricks

Job description

Senior Data Architect Location: Leeds- Hybrid working Permanent roleWe 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

Requirements

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,ProposalsApply with your updated CV for an immediate discussion with Talent team#UST

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