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# GCP DATA Platform Engineer in Charlotte, NC (Onsite)-Contract

- **Company:** Lorven Technologies Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Apache HTTP Server, Big Data, System Configuration, Data Infrastructure, Data Security, Role-Based Access Control, Cloudera, Software Deployment, Google Cloud, Data Lakes
- **Published:** September 17, 2026
- **Apply:** https://www.careerjet.com/jobad/us90478f8d6d724087c613f94656cf3603

## About the Role

* 5 years of relevant experience in data platform engineering
 * Handson experience with Google Cloud Platform GCP
 * Experience with On-premises Cloudera big data clusters
 * Experience with Apache Iceberg table format
 * Experience with Iceberg REST Catalog IRC
 * Experience with Apache Gravitino for metadata catalog integration
 * Experience with service account creation and role-based access control in hybrid environments

## Description

We are building a hybrid data platform that bridges an On-premises big data cluster with Google Cloud Platform and we need an engineer who can own this integration end to end This role is central to establishing a repeatable production grade pattern for multitenant data platform architecture starting with GCP as the first cloud tenant on an existing on-prem Cloudera cluster You will configure the foundational infrastructure service accounts Iceberg table formats metadata catalog integration via Apache Gravitino and role-based access controls, * Configure and provision the On-premises Cloudera cluster environment including service account creation role definitions and permission structures for multitenant access

 * Design and implement Apache Iceberg table structures optimized for hybrid on Prem cloud workloads
 * Integrate the Iceberg REST Catalog IRC with Apache Gravitino to establish a unified metadata layer across on-prem and GCP environments
 * Establish GCP as a production tenant on the existing on prem Cloudera cluster validating the end-to-end architecture pattern
 * Define and enforce data access governance including role-based permissions and service account security policies across both environments
 * Drive the full lifecycle from environment setup through to production deployment
 * Publish comprehensive documentation and architectural blueprints covering cross platform interoperability best practices vendor recommendations and access patterns for hybrid data lake implementations