Senior GCP Data Architect – Autonomous AI Platform

Capgemini Engineering; United Kingdom; Presencial; GBP 120 000 - 180 000; Tempo integral

Resumo da oferta

Capgemini is seeking a senior data architecture leader to design and govern an end-to-end GCP Data & AI platform. You will shape the data ecosystem across ingestion, governed lakes, data products, Knowledge Graphs, Digital Twin foundations and Agentic AI.

The role requires cross-domain leadership and enterprise-scale governance. Ideal candidates have 10+ years in enterprise data architecture and 5+ years building cloud-native data platforms, with strong ETL/ELT, streaming, and governance

Qualificações

• Senior architect with a focus on enterprise-scale data platforms and GCP.
• Experience shaping data ecosystems end-to-end beyond individual tech layers.
• Background in telecom domain beneficial; strong governance and data modeling skills.

Responsabilidades

• Design and govern enterprise-scale GCP data platforms using BigQuery, Dataplex, Dataflow and more.
• Develop architectures for GenAI, RAG, vector search and Agentic AI platforms.
• Define models and integration patterns for Digital Twins and Knowledge Graphs.

Conhecimentos

Enterprise data architecture

Cloud data platforms

ETL/ELT pipelines

Real-time streaming

Event-driven architectures

Data governance

RAG architectures

Vector databases

Semantic search

AI-ready data platforms

Telecom domain knowledge

Ferramentas

BigQuery

Spanner Graph DB

Dataplex

Dataflow

Pub/Sub

BigLake

Cloud Storage

Vertex AI

Knowledge Graph

Kubernetes and GKE

Descrição da oferta de emprego

Capgemini is seeking a senior data architecture leader to design and govern an end-to-end GCP Data & AI platform. You will shape the data ecosystem across ingestion, governed lakes, data products, Knowledge Graphs, Digital Twin foundations and Agentic AI.

The role requires cross-domain leadership and enterprise-scale governance. Ideal candidates have 10+ years in enterprise data architecture and 5+ years building cloud-native data platforms, with strong ETL/ELT, streaming, and governance