Data Architect

Data Architect

Posted 7 days ago by Luxoft

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Negotiable
Undetermined
Undetermined
Milton Keynes, England, United Kingdom
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Amazon Neptune Cloud Computing Cloud Technology Data Architecture Data Exchange Data Governance Data Modeling Data Quality Data Visualisation Enterprise Integration Grafana Information Systems Information Technology Internet Of Things (IoT) Management Management Systems Mapping Software Middleware Neo4j Network Analysis Network Management Power BI Systems Development Topology UML Tool

Summary: The role of Data Architect at DXC Luxoft involves designing solutions for Route Services Information Technology (RSIT) customers within a major UK rail network company. The position emphasizes graph-based data modeling and network management, aligning with enterprise-level information systems. Candidates should possess experience in large-scale environments, particularly within the rail industry, and have a strong understanding of graph databases. This contract role offers an opportunity for professional development in the Data Architecture sphere.

Key Responsibilities:

  • Design solutions for Route Services Information Technology (RSIT) customers.
  • Focus on graph-based data modeling and network management.
  • Ensure alignment with current and target-state infrastructure.
  • Support enterprise-level information systems development.

Key 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 modeling.
  • Understanding of network management systems, topology modeling, and asset interconnectivity.
  • Solid experience with enterprise integration patterns, middleware, and data platforms.
  • Familiarity with cloud data architecture, modern ETL/ELT approaches, and API-based data exchange.
  • Experience in data governance and data quality frameworks (nice-to-have).
  • Knowledge of spatial data, IoT, or real-time monitoring systems (nice-to-have).
  • Experience with data visualization and analytics platforms (e.g., Power BI, Grafana) (nice-to-have).
  • Proficiency with data modeling tools and notations (e.g., UML, ERD, ArchiMate) (nice-to-have).
  • Understanding of rail-specific systems such as signaling, asset management, and control systems (nice-to-have).

Salary (Rate): undetermined

City: Milton Keynes

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Changes bring new opportunities and connections! Embrace them with DXC Luxoft! Are you excited about become a part of Luxoft DXC Team and make progress in your career? Do you want to become a professional and develop in Data Architecture sphere? Than this role is definitely for you. We are looking for a Data Architect (contract role) for our Client which is one of the biggest UK rail network companies operating with rail infrastructure and asset management which has a need to develop and support enterprise-level information systems. 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.

Skills Description: 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.

Nice-to-Have Skills Description: 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.

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