Senior GCP Data Architect - Autonomous Networks & AI Platform

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 isolation.

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 isolation.

In this role you will play a key role in:

• Design and govern enterprise-scale GCP data platforms using BigQuery, Spanner Graph DB, Dataplex, Dataflow, Pub/Sub, BigLake 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: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, 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, LangGraph and LlamaIndex
• Vertex AI and Gemini
• Vector databases (Pinecone, Weaviate, Milvus, Qdrant)
• Kubernetes and GKE
• Autonomous Network and AI-Ops programmes

Make it real - what does it mean for you?

• Open access to digital learning platforms
• Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or

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, and
• Meet 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 ClearanceOR Developed Vetting.
• 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.

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.

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