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Data Architect (rail industry experience, graph databases/network management)

Luxoft

Milton Keynes

On-site

GBP 60,000 - 85,000

Full time

5 days ago
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Job summary

A leading company in the UK rail sector is seeking a Data Architect to design and implement data solutions that enhance operational efficiency and support asset management. This role requires expertise in graph databases and a solid understanding of transportation infrastructure. The successful candidate will collaborate across teams to ensure alignment with strategic business objectives while maintaining high standards of data quality and scalability.

Qualifications

  • Proven experience as a Solution or Data Architect in large-scale environments.
  • Strong knowledge of graph databases and data integration techniques.
  • Understanding of rail industry operations and infrastructure.

Responsibilities

  • Architect and design data solutions for rail infrastructure.
  • Develop data architectures that integrate operational data and business intelligence.
  • Manage stakeholder engagement and technical governance for third-party development.

Skills

Data Architecture
Graph Databases
Data Modelling
Middleware
Enterprise Integration
Collaboration

Tools

Neo4j
Amazon Neptune
Power BI
Grafana

Job description

2 days ago Be among the first 25 applicants

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.

Mandatory Skills

  • 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 Skills

  • 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.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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