Data Solution Architect - Group & Enterprise Services An organisation is seeking an experienced Data Solution Architect to help shape its data strategy and lead the design of scalable, secure and cost-effective data solutions. The role sits within a central data and analytics function and focuses on maturing enterprise data architecture, promoting modern data practices, and supporting a Data Mesh-aligned operating model. Key Responsibilities

Engage across technical and business teams, tailoring communication for different stakeholders. Lead end-to-end data solution design, ensuring alignment with enterprise architecture, governance and cost considerations. Provide expertise in cloud data platforms, data governance, security and modern data architecture. Work with domain experts to understand business data and develop usable, reusable data products. Support full delivery lifecycle including design, modelling, security reviews, testing and transition to BAU. Contribute to the design and build of data solutions on cloud platforms, particularly BigQuery and native transformation tooling. Collaborate with vendors on assessments, RFPs and solution implementation.

Essential Skills

Strong experience with cloud-native data architectures, ideally on GCP. Deep knowledge of BigQuery, modern data processing patterns, warehouses and Lakehouse design. Experience with data governance, lineage, metadata and data quality tooling. Practical delivery of Data Products aligned to Data Mesh principles. Strong architectural modelling and documentation skills. Experience designing for performance, scalability, resilience and cost optimisation. Ability to influence architectural direction and work with diverse stakeholders. Understanding of architectural governance processes.

Desirable

Familiarity with EA frameworks such as TOGAF or Zachman. Experience in financial services or insurance. Knowledge of SDLC, DevOps, and data engineering delivery models. Exposure to multi-cloud environments.

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