Senior GCP Data Architect - Autonomous Networks & AI Platform

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.

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 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

• 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

• Experience with Digital Twin platforms
• Experience with Knowledge Graph implementations
• Data Mesh architectures
• Lang Chain, Lang Graph and Llama Index
• Vertex AI and Gemini
• Vector databases (Pinecone, Weaviate, Milvus, Qdrant)
• Kubernetes and GKE
• Autonomous Network and AI-Ops programmes

• 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, and
• Meet the minimum essential criteria for the role.
• Please opt in during the application process.

Capgemini. Make it real.

• 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.

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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