Senior GCP Data Architect for AI-Driven Autonomous Networks

Capgemini Engineering; Abingdon; On-site; GBP 120,000 - 160,000; Full time

Job summary

Capgemini is seeking a senior data architecture leader to design and govern an end-to-end GCP Data & AI platform, spanning ingestion, data lakehouse, data products, Knowledge Graph, and Agentic AI foundations.

You will shape the entire data ecosystem rather than individual layers, collaborating across domains to establish standards and scalable patterns for enterprise-scale cloud-native platforms.

Qualifications

• 10+ years in enterprise data architecture.
• 5+ years designing large-scale cloud-native data platforms.
• Google Cloud expertise including BigQuery, Dataflow, Pub/Sub.
• Knowledge Graph and semantic modelling.
• Data engineering: ETL/ELT, real-time streaming, governance.
• AI and data intelligence: RAG, embeddings, vector databases.
• Telecom domain experience.

Responsibilities

• Design and govern enterprise-scale GCP data platforms using BigQuery, Dataplex, Dataflow, Pub/Sub, BigLake and Cloud Storage.
• Develop architectures supporting GenAI, RAG, vector search and Agentic AI platforms.
• Define data models and integration patterns for Digital Twins across domains.
• 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.

Skills

Enterprise data architecture

Cloud-native data platforms

GCP Data & AI expertise

Knowledge Graph & Semantic Modelling

AI-ready data platforms

Telecom domain experience

Tools

BigQuery

Dataflow

Pub/Sub

Dataplex

BigLake

Vertex AI

Spanner

Kubernetes / GKE

Cloud Storage

LangChain / LangGraph

Job description

Capgemini is seeking a senior data architecture leader to design and govern an end-to-end GCP Data & AI platform, spanning ingestion, data lakehouse, data products, Knowledge Graph, and Agentic AI foundations.

You will shape the entire data ecosystem rather than individual layers, collaborating across domains to establish standards and scalable patterns for enterprise-scale cloud-native platforms.