OSS Data Architect

Capgemini Engineering is looking for OSS Data Architect who will be the senior technical authority responsible for designing the end-to-end data extraction, connectivity, and ingestion architecture. You will define the technical strategy and standardized patterns for integrating dozens of complex, on-premise Operations Support Systems (OSS) with the Cloud Platform preferably GCP.

In this role you will play a key role in:

• Architectural Strategy & Design
• Technical Governance & Standards
• Stakeholder Management & Technical Leadership
• Security & Compliance, * Due to the nature of the project this role requires Sole UK National.
• This is a hybrid role requires 3 days/week office presence based in Newbury.
• You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.

• Overall 12-15+ years’ experience with 8-10+ years of experience in data architecture, with a significant focus on data integration, ETL/ELT, and data warehousing in large enterprise environments.
• Proven experience designing and implementing data integration solutions for a wide range of telecommunications OSS domains (e.g., Inventory, Performance, Fault, Provisioning, Ticketing etc).
• Expert-level knowledge of multiple data ingestion patterns, including batch file processing, API integration (REST/SOAP), RDBMS querying (JDBC), and real-time data streaming (CDC, Kafka, etc.).
• Deep understanding of hybrid cloud connectivity and security principles, including VPNs, dedicated interconnects, firewalls, and API security.
• Demonstrated ability to create and govern reusable architectural patterns and technical standards for large-scale development teams.

Highly Desirable

• Experience with Google Cloud Platform (GCP) services, particularly BigQuery, Dataflow, Pub/Sub, Cloud Interconnect, and Apigee.
• Experience with Infrastructure as Code (e.g., Terraform) and CI/CD principles in a data context (DataOps).
• Strong leadership and communication skills, with the ability to influence senior technical stakeholders and mentor other engineers.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.