2 of 2 Permanent Data Lake Jobs in Uxbridge

About the role We are looking for an experienced Data Product Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that … are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically minded, capable of translating complex data requirements into scalable product architectures and enabling the delivery of data products that are robust, reusable, and value-driven. Location: Uxbridge, UK. Main Responsibilities Solution Architecture & Design Design end-to-end architecture … for data products, including ingestion, transformation, storage, access, and visualization layers. Define architectural standards, patterns, and principles for data product development. Ensure solutions are scalable, modular, reusable, and aligned with enterprise architecture and data strategy. Lead the selection and integration of appropriate technologies and platforms (e.g., data lakes, warehouses, real-time processing More ❯

About the role We are looking for an experienced Data Product Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that … are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically minded, capable of translating complex data requirements into scalable product architectures and enabling the delivery of data products that are robust, reusable, and value-driven. Location: Uxbridge, UK. Main Responsibilities Solution Architecture & Design Design end-to-end architecture … for data products, including ingestion, transformation, storage, access, and visualization layers. Define architectural standards, patterns, and principles for data product development. Ensure solutions are scalable, modular, reusable, and aligned with enterprise architecture and data strategy. Lead the selection and integration of appropriate technologies and platforms (e.g., data lakes, warehouses, real-time processing More ❯