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Senior Solution Architect, Data & AI

CDW
London, GBR
Full-time
Onsite
Discovered 2 weeks ago
Data platform architectureData estate modernisationLakehouse architectureData warehouse architectureData integrationETL/ELT

Full Job Posting

About CDW

CDW describes a collaborative, customer-focused culture and works with customers to deliver technology solutions.

Role summary

The Senior Solutions Architect leads technical responses to data platform opportunities in CDW UK's Data & AI practice.

The role designs modern platforms for collecting, storing, integrating, processing, governing, and analysing data.

The work includes pre-sales discovery, customer requirement qualification, technical design, and commercially credible solutions.

Modernisation focuses on moving customers from legacy warehouses, databases, and fragmented data estates to modern platforms.

Architecture and customer work

  • Advise on data strategy, target-state architecture, and platform roadmaps supporting analytics, operational decisions, and AI.
  • Assess existing data estates, define migration approaches and phased roadmaps, and identify risks, dependencies, and quick wins.
  • Design lakehouse, warehouse, federated, and data-product architectures using medallion, dimensional, and domain-oriented modelling patterns.
  • Design batch, streaming, CDC, ETL/ELT, transformation, and orchestration patterns.
  • Design logical storage, including database selection, open table formats, partitioning, retention, and lifecycle management.
  • Design governance for cataloguing, lineage, ownership, classification, quality, and access policies.
  • Design semantic and business-model layers for BI, self-service analytics, and AI; guide analytics and visualisation choices.
  • Ensure data platforms provide the quality, context, access, and governance required for AI and machine learning.
  • Build security, privacy, observability, reliability, and cost management into architecture and advise on platform cost optimisation.
  • Give impartial platform advice, including on Databricks, Snowflake, Microsoft Fabric, and Starburst.
  • Create reference architectures, modernisation assessments, demonstrations, and packaged offerings; support sales enablement and colleague development.

Platform and design scope

  • Relevant architecture areas include data ingestion and integration, storage and management, processing and transformation, semantic layers, data sharing, and AI-ready data.
  • Physical storage and infrastructure are handled by the Hybrid Platforms practice; data protection and governance are supported by the Security practice.

Role requirements

  • Technical and commercial awareness and the ability to communicate with a wide range of customer stakeholders.
  • Ability to qualify technical requirements, lead discovery, and turn customer goals into valid, commercially credible designs.
  • Ability to provide evidence-based platform recommendations that fit customer requirements, existing investments, and skills.

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