Capgemini

Cloud Engineer Marketing Data Platform

Capgemini
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2 days ago

Base Salary

$100k - $119k/yr

Responsibilities

  • Design and operate Google Cloud organization, folder, project, IAM, service-account, networking, policy, and tenant-isolation foundations.
  • Implement VPC Service Controls, controlled egress, encryption, secrets management, Sensitive Data Protection scanning, audit logging, and compliance evidence.
  • Operate Cloud Storage, BigQuery, Pub/Sub, Dataflow, Datastream, Spanner, Cloud Run, Artifact Registry, Cloud Build, Cloud Scheduler, and Workflows.
  • Provision infrastructure with Terraform and manage CI/CD promotion gates, policy-as-code checks, drift detection, Cloud Run releases, traffic splitting, rollbacks, and image hygiene.
  • Own logging, monitoring, tracing, service-level objectives, alerting, runbooks, incident response, disaster recovery, high availability, backup, RPO/RTO, and FinOps.
  • Support Databricks on GCP deployments and provide predictable latency and per-client isolation for the agentic layer.
  • Translate business requirements into technical specifications in client-facing consulting delivery contexts.

Requirements

  • 5+ years of cloud or platform engineering experience, including production Google Cloud.
  • Deep experience with GCP IAM, VPC, Private Service Connect, VPC Service Controls, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, and Cloud KMS.
  • Experience with Terraform and CI/CD for cloud infrastructure.
  • Experience with GCP security engineering, organization policy, audit logging, secrets management, CMEK, and Sensitive Data Protection.
  • Experience designing observability with Cloud Monitoring, Cloud Logging, alerting, and service-level objectives.
  • Strong scripting in Python or Bash and working SQL knowledge for BigQuery administration.
  • Experience in regulated industries, preferably financial services, including data residency, consent frameworks, GLBA, Fair Lending, and UDAAP.
  • Ability to operate in client-facing consulting delivery contexts.
  • Preferred: Google Cloud Professional certification as a Cloud Architect, Cloud Security Engineer, or Cloud DevOps Engineer.
  • Preferred: production experience with Spanner, Spanner Graph, Dataflow, Datastream, Databricks on GCP, multi-tenant isolation, per-tenant cost allocation, clean rooms, privacy-preserving data exchange, LangSmith, and LangGraph.

Benefits

  • Base compensation range is $100000 to $118650 per year.
  • Paid time off, including 12-25 vacation days depending on grade, company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
  • Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
  • Life and disability insurance and employee assistance programs.
  • Additional benefits may be provided according to local policy and eligibility; the role is regular and full-time.

Tech Stack

BashDatabricksGoogle BigQueryGoogle CloudPythonSQLTerraform

Categories

Capgemini

About Capgemini

10,000+ employees

Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.

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