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Senior GCP Data Architect - Autonomous Networks & AI Platform

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What you’ll work on

Full posting
  • Design and govern enterprise-scale GCP data platforms (BigQuery, Dataflow, Pub/Sub, BigLake)

  • Develop architectures for GenAI, RAG, vector search and Agentic AI on Vertex AI

  • Define data models and integration patterns for Digital Twins

  • Define integration patterns across OSS/BSS, network, Digital Twin, Knowledge Graph and AI platforms

  • Establish standards and reference architectures for data, AI and autonomous network platforms

From the employer’s posting
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

About Capgemini Service SAS

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.

In the employer’s words · Read in context

Apply at Capgemini Service SAS

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20262 days ago
Recorded sightings
1

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How this job compares

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Day 2

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From 8,347 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

293 open jobs

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • BigQuery
  • GCP
  • Kubernetes
Where the posting names them
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
- 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
- Vector databases (Pinecone, Weaviate, Milvus, Qdrant) - Kubernetes and GKE - Autonomous Network and AI-Ops programmes

Your next step

Complete your application on careers.capgemini.com. The employer’s form will show what is required.

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About Capgemini Service SAS

People
About 11,267 in 2024.Benefit plan filings (Form 5500)
Company
Listed as CAP.PA.
H-1B visas
771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,205, and the latest week had 836.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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

 

If you're excited about this role but don’t meet every requirement, we still encourage you to apply, your unique experience could be just what we need.

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 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.

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.​

Make it real | www.capgemini.com

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Location & working pattern

Abingdon, GB

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Work authorization
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.

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