Senior Data Engineer, GCP Cloud & Data Platforms

Capgemini; Atlanta (GA); On-site; USD 160,000 - 170,000; Full time

Job summary

Capgemini is seeking a senior Data Engineer to design, automate, secure, and optimize cloud solutions on Google Cloud Platform. You’ll work with engineering, DevOps, and security teams to ensure scalable, cost-efficient, and resilient environments that align with business goals.

The role emphasizes GCP architecture, Kubernetes, Terraform, IAM, monitoring, and cloud cost optimization, with a focus on modernization and reliable operations.

Qualifications

• Extensive experience designing on Google Cloud Platform.
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Responsibilities

• Architect and implement compute, storage, networking, and container workloads on GCP.
• Automate provisioning and deployments using Terraform and CI/CD.
• Implement IAM, service accounts, and security controls.
• Build monitoring, logging, tracing, and alerting solutions.
• Optimize scaling, performance, and cloud costs.
• Support workload migration and modernization initiatives.
• Troubleshoot cloud issues and perform root cause analysis.

Skills

GCP architecture

Kubernetes (GKE)

Terraform

CI/CD pipelines

IAM & security

Python/Bash

Monitoring/Observability

Cloud cost optimization

Tools

GKE

Cloud Run

Cloud Functions

Cloud SQL

BigQuery

Pub/Sub

Dataflow

Terraform

Cloud Build

Artifact Registry

Prometheus/Grafana

Job description

Capgemini is seeking a senior Data Engineer to design, automate, secure, and optimize cloud solutions on Google Cloud Platform. You’ll work with engineering, DevOps, and security teams to ensure scalable, cost-efficient, and resilient environments that align with business goals.

The role emphasizes GCP architecture, Kubernetes, Terraform, IAM, monitoring, and cloud cost optimization, with a focus on modernization and reliable operations.