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Senior GCP Data Architect - Autonomous Networks & AI Platform

Job in Abingdon, Oxfordshire, OX14, England, UK
Listing for: Capgemini
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Your role

This is a senior architecture role focused on designing and governing end-to-end GCP Data & AI platform, spanning data ingestion, governed data lake/lakehouse, data products, Knowledge Graph, Digital Twin data foundations, and Agentic AI platforms. The role requires an architect capable of shaping the complete data ecosystem rather than individual technology layers in  this role you will play a key role in:

Design and govern enterprise-scale GCP data platforms using Big Query, Spanner Graph DB, Dataplex, Dataflow, Pub/Sub, Big Lake and Cloud Storage.

Develop architectures supporting GenAI, RAG, vector search, embeddings and Agentic AI platforms using Vertex AI and related technologies

Define data models and integration patterns for Domain and Cross-Domain Digital Twins.

Define integration patterns across OSS/BSS, network domains, Digital Twin, Knowledge Graph and AI platforms.

Establish standards, methodologies and reference architectures for data, AI and autonomous network platforms

Your profile
10+ years in enterprise data architecture with 5+ years designing large-scale cloud-native data platforms.

Google Cloud Expertise including:
Big Query, Dataflow, Pub/Sub Dataplex, Big Lake, Cloud Storage, Vertex AI, Cloud Composer, Spanner Knowledge Graph & Semantic Modelling Data Engineering: ETL/ELT pipelines, Real-time streaming architectures, Event-driven platforms, Data observability and governance AI & Data Intelligence: RAG architectures, Vector databases, Embedding frameworks, Semantic search, Feature engineering, AI-ready data platforms

Telecom Domain Experience Nice-to-Have Qualifications

Experience with Digital Twin platforms

Experience with Knowledge Graph implementations

Data Mesh architectures

LangChain, Lang Graph and Llama Index Vertex  AI and Gemini Vector databases (Pinecone, Weaviate, Milvus, Qdrant)
Kubernetes and GKEAutonomous Network and AI-Ops programmes

If you're excited about this role but don’t meet every requirement, we still encourage you to apply, your unique experience could be just what we need.

Make it real - what does it mean for you?

Open access to digital learning platforms

Active employee networks promoting diversity, equity and inclusion like Out Front, Cap Ability or Women@Capgemini Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

Declare they have a disability, andMeet the minimum essential criteria for the role.

Please opt in during the application process.

Capgemini. Make it real.

Need to know

All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.

You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.

About Capgemini 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.

Make it real |
Position Requirements
10+ Years work experience
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