One of the biggest UK rail network companies operating with rail infrastructure and asset management has a need to develop and support enterprise-level information systems. To act as the design authority for data-centric projects and programmes, responsible for shaping high-level data architecture aligned with strategic business and technology goals. This role focuses on designing solutions for Route Services Information Technology (RSIT) customers, with an emphasis on graph-based data modelling and network management, ensuring alignment with both current and target-state infrastructure.,

• Architect and design data solutions that support route services, asset management, and operations across the rail domain-ensuring scalability, quality, and performance. Develop data architectures and models (especially graph-based) that support seamless integration of infrastructure, operational data, and business intelligence. Define and enforce data solution standards, ensuring technical consistency and reuse across programmes. Collaborate with RSIT colleagues and enterprise architects to ensure proposed designs align with existing and future infrastructure strategies. Manage stakeholder engagement to translate complex data requirements into clear, actionable solutions-communicating both technical and business perspectives. Lead the technical governance of third-party development, ensuring external resources deliver fit-for-purpose data solutions that meet cost, timeline, and quality targets. Promote data reuse and best practices by maintaining documentation, promoting shared
  
  understanding of architecture, and enabling effective data lifecycle management. Drive innovation in network and infrastructure intelligence using modern data technologies including graph databases, APIs, and data pipelines.
SKILLS Must have
• Proven experience as a Solution Architect or Data Architect in large-scale, enterprise environments. Rail industry experience or deep understanding of transportation infrastructure and operational data. Strong knowledge of graph databases (e.g., Neo4j, Amazon Neptune) and graph-based modelling for network analysis and relationship mapping. Understanding of network management systems, topology modelling, and asset interconnectivity in physical or digital rail infrastructure. Solid experience with enterprise integration patterns, middleware, and data platforms. Familiarity with cloud data architecture, modern ETL/ELT approaches, and API-based data exchange. Collaborative mindset; ability to work with multidisciplinary teams and communicate effectively with technical and non-technical stakeholders.
Nice to have Experience in data governance and data quality frameworks. Knowledge of spatial data, IoT, or real-time monitoring systems in an infrastructure context. Experience with data visualisation and analytics platforms (e.g., Power BI, Grafana). Proficiency with data modelling tools and notations (e.g., UML, ERD, ArchiMate). Understanding of rail-specific systems such as signalling, asset management, and control systems.