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# Senior GCP Data Architect - Autonomous Networks & AI Platform

- **Company:** Capgemini
- **Location:** Ewelme, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Training Data, Artificial Intelligence, Airflow, BigQuery, Cloud Storage, Encodings, Data Architecture, Extract Transform Load (ETL), Dataspaces, Data Flow Control, Graph Database, Data Intelligence, Cloud Services, Data Mesh, DataOps, Search Technologies, Data Streaming, Digital Twin, Pinecone, Qdrant, Computer Networking Systems, Google Cloud, Feature Engineering, Data Ingestion, LangChain, Retrieval-Augmented Generation, Llamaindex, Agentic-AI, Data Lakes, AI Platforms, Kubernetes, Weaviate, OSS/BSS, Milvus, Google Gemini, Data Pipelines
- **Published:** November 9, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-gcp-data-architect-autonomous-networks-ai-platform/55325141

## About the Role

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

## Description

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