Data Architect is required to join a team working on a large scale programme and to support a key Discovery and Options Analysis phase and shape data integration solutions across the programme. You will be responsible for: Leading the definition of data architecture vision, principles, and target state. Running discovery workshops to assess current data estate, data flows, technical constraints, and business needs. Developing data integration and system integration options, evaluating feasibility, risks, cost, and complexity. Designing high-level reference architectures, integration patterns, and data platform approaches. Producing clear recommendations, roadmaps, and decision-support materials for client leadership. Presenting findings in a structured, compelling way to both technical and non-technical audiences. Required experience and skills: Extensive experience in leading data architecture across complex programmes. Ability to work in ambiguous early-stage projects and shape the direction of the programme. Broad experience with various technologies and vendors ideally including Azure Data Services and other Microsoft tools. Ability to assess and recommend data integration options for hybrid environments, including integration between Legacy on-premise systems and cloud-based services. Strong client-facing skills, confident facilitating workshops, guiding discussions, and producing well-structured deliverables. Comfortable working in early-stage/pre-delivery phases.