Data & AI Architect (Consulting Background)
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Job description
Robert Half is supporting a client in the search for an experienced Consulting Data Architect to join a growing Data & AI function delivering enterprise-scale transformation programmes.This is a highly client-facing consulting role suited to individuals with a strong consulting background who can combine deep technical expertise with stakeholder management, solution architecture and strategic advisory. You will act as a trusted advisor, helping organisations shape enterprise data strategies, modernise data platforms and build scalable foundations for AI, analytics and business intelligence.Assignment Details:Initial 3-month contract with strong likelihood of extensionLocation: London / Hybrid (1-2 days per week in the City)Daily Rate: £600-650 per day via umbrellaASAP start with fast-track onboardingKey Responsibilities:Lead client-facing data architecture engagements from discovery through to deliveryDesign and deliver enterprise-scale data platforms (Fabric, Databricks, Azure, AWS
Requirements
Snowflake)Define data strategy and architecture roadmaps aligned to business and AI objectivesDrive data modelling, integration and governance standardsProvide technical leadership across data engineering and analytics teamsAct as a trusted advisor to senior stakeholders, supporting workshops and solution designRequired Experience:Strong consulting background within a recognised consulting firmProven experience delivering enterprise data architecture in complex environmentsStrong stakeholder management and client-facing advisory experienceExperience bridging business strategy and technical deliveryTechnical Experience:Microsoft Fabric, Databricks, SnowflakeAzure / AWS data platformsLakehouse architecture, ETL/ELT, data modellingData governance, integration, real-time streamingPower BI and modern data toolingNice to Have:Consulting experience within FS, Energy, Retail or similar sectorsExposure to AI / GenAI / RAG architecturesRelevant cloud or data certifications
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