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Job Summary
The Senior Solutions Architect, Data leads the technical response on data platform opportunities within CDW UK's Data & AI practice. Working alongside the wider solution sales organisation they design modern data platforms, whether unified or federated, that let customers collect, store, integrate, process, govern and analyse their data. The result is a trusted, secure, scalable, and cost-efficient foundation for data-driven decisions and AI. Modernisation is at the heart of the role: helping customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst.
Role
In a pre-sales capacity, there is a demand for both technical and commercial awareness coupled with an ability to communicate with a wide range of customer stakeholders.. The role qualifies the technical requirement on opportunities, leads discovery with business, data and IT stakeholders, and turns customer goals into technical valid, commercially credible designs covering:
- Data Ingestion and Integration
- Storage and management
- Processing and Transformation
- Design of the Semantic Layer
- Data Sharing
- Delivery of AI-ready data
Governance, security, observability and cost are designed in at every stage.
They work closely with Solution Sales Specialists, Partners and their fellow architects in associated domain specialistations. Physical storage, Infrastructure and Cloud platforms are handed to Hybrid Platforms Practice, with Data Protection and Governance coming from our Security Practice.
The role also has input into the Data Platforms go-to-market by creating reusable reference architectures, modernisation assessments, demonstrations and packaged offerings. The candidate also supports sales enablement and the development of colleagues across the practice
What You Will Do
- Enterprise Data Strategy - Advise customers on data strategy and target-state architecture, linking business priorities to a practical data platform roadmap that supports analytics, operational decisions and AI.
- Data Estate Modernisation - Lead the technical case for modernising legacy data warehouses, databases and fragmented data estates. Assess the current state, define migration approaches and phased roadmaps, and identify risks, dependencies and quick wins.
- Data Architecture & Modelling - Design end-to-end data platform architectures, including lakehouse, warehouse, federated and data-product approaches. Apply appropriate modelling patterns such as medallion, dimensional and domain-oriented designs.
- Data Integration & Engineering - Design ingestion and integration patterns across batch, streaming and change data capture (CDC). Define ETL/ELT, transformation and orchestration approaches suited to the customer's scale, skills and operating model.
- Data Storage & Management - Design the logical storage layer, including open table formats, database selection, partitioning, retention and lifecycle management. Work with Hybrid Platforms architects, who own physical storage and infrastructure.
- Data Governance, Discovery & Quality - Design governance into every solution, covering cataloguing, lineage, ownership, business classification, data quality and access policy. Work with Security architects, who own data protection and data loss prevention.
- Semantic Layer & Analytics - Design the semantic and business-model layer that provides consistent, trusted definitions for BI, self-service analytics and AI. Guide analytics and visualisation choices without building dashboards or reports.
- AI-Ready Data - Make sure data platforms provide the quality, context, access and governance that AI and machine learning need. Work with the Principal AI Architect on AI use cases that depend on the data foundation.
- Security, Observability & FinOps by Design - Build security, privacy, monitoring, reliability and cost management into every layer of the architecture. Give customers a clear view of consumption-based platform
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Senior Solution Architect, Data & AI employer: CDW
At CDW, we foster a collaborative and inclusive work culture where every coworker is valued and empowered to contribute. Located in the heart of London, our hybrid working model allows for flexibility while ensuring that you are part of a dynamic team dedicated to innovation and excellence in technology solutions. With ample opportunities for professional growth and a commitment to embracing AI and new technologies, CDW is an exceptional employer for those looking to make a meaningful impact in their careers.
