Data Architect

Luxoft; Milton Keynes; On-site; GBP 60,000 - 80,000; Full time

Job summary

Une grande entreprise du secteur ferroviaire au Royaume-Uni recherche un architecte de solutions pour concevoir des systèmes d'information d'entreprise. Ce poste se concentre sur la modélisation de données graphes et la gestion des réseaux, dans un rôle clé pour l'innovation dans l'intelligence d'infrastructure. Exigences fortes en intégration de données, architecture cloud et collaboration au sein d'équipes multidisciplinaires doivent être réunies.

Qualifications

• Expérience prouvée en tant qu'architecte de solutions ou architecte de données dans des environnements d'entreprise à grande échelle.
• Compréhension approfondie de l'infrastructure ferroviaire et des données opérationnelles.
• Capacité à travailler avec des équipes multidisciplinaires et à communiquer efficacement avec des parties prenantes techniques et non techniques.

Responsibilities

• Concevoir des solutions de données supportant la gestion des itinéraires et des opérations dans le domaine ferroviaire.
• Collaborer avec des collègues et des architectes d'entreprise pour s'assurer que les conceptions proposées s'alignent sur les stratégies d'infrastructure existantes.
• Gérer l'engagement des parties prenantes pour traduire des exigences de données complexes en solutions claires.

Skills

Graph databases

Collaborative mindset

Enterprise integration patterns

Cloud data architecture

Network management systems

Tools

Power BI

Grafana

Neo4j

Amazon Neptune

Job description

Project description

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.

Responsibilities

• 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.