GCP Data Platform Engineer at Capgemini Charlotte NC
Overview
We seek a skilled engineer to lead the design and ownership of a hybrid data platform integrating on-premises big data with Google Cloud Platform. This role establishes a repeatable production-grade architecture starting with GCP as the first cloud tenant on an existing Cloudera cluster. You will configure infrastructure service accounts define role-based access controls and ensure seamless metadata integration across environments.
What You'll Do7
- 1Configure and provision the on-premises Cloudera cluster environment including service account creation role definitions and permission structures for multitenant access
- 2Design and implement Apache Iceberg table structures optimized for hybrid on-prem cloud workloads
- 3Integrate the Iceberg REST Catalog with Apache Gravitino to establish a unified metadata layer across on-prem and GCP environments
- 4Establish GCP as a production tenant on the existing on-prem Cloudera cluster validating the end-to-end architecture pattern
- 5Define and enforce data access governance including role-based permissions and service account security policies across both environments
- 6Drive the full lifecycle from environment setup through to production deployment
- 7Publish comprehensive documentation and architectural blueprints covering cross platform interoperability best practices vendor recommendations and access patterns for hybrid data lake implementations
Requirements7
- 15 years of relevant experience in data platform engineering
- 2Hands-on experience with Google Cloud Platform
- 3Proficiency with on-premises Cloudera big data clusters
- 4Experience with Apache Iceberg table format
- 5Familiarity with Iceberg REST Catalog IRC
- 6Experience integrating Apache Gravitino for metadata catalog integration
- 7Knowledge of service account creation and role-based access control in hybrid environments
Salary Insight
$62 - $72k per year
Location
Required Skills
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