2 of 2 GCP Data Architect Jobs in the Thames Valley

and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture on Google Cloud Platform (GCP). You’ll be responsible for defining the platform strategy, leading a team of data engineers, and ensuring high standards of data quality, compliance, and … implement enterprise-level data architecture strategies on GCP. Gather client requirements and translate business challenges into scalable data solutions. Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real … project delivery and consistency Lead a team of data engineers through implementation phases, ensuring alignment to architectural best practices. Required Experience: Proven experience working with Google Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in More ❯

Contract Opportunity: Data Architect – London Market Insurance ? Location: Central London (Hybrid – 2 days/week in office) Duration: 6 months (initial engagement, with likely extensions) We’re partnering with a leading global insurance group to recruit an experienced Data Architect for a major data transformation initiative. This is a fantastic … opportunity for a seasoned contractor with deep expertise in the London Market insurance sector and a passion for building robust, scalable data architectures using modern cloud technologies. Key Responsibilities: Design and lead the implementation of data architectures aligned with business and regulatory requirements. Champion best practices in data modelling , ensuring consistency and scalability across … the enterprise. Play a critical role in the build-out and optimisation of a Medallion architecture using Databricks and the Azure data platform . Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to translate business requirements into technical solutions. Govern and enhance the overall data platform, ensuring high data More ❯