GCP Data Platform Engineer

Capgemini • Atlanta, GA

1d • Hybrid

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed