Data Platform Engineer

Job Summary

The Data Platform Engineer will be responsible for installing, configuring, administering, and supporting modern data platforms in on-premises environments, focusing on Development, QA, and Production stages.

Responsibilities

• Install, configure, and manage data platform components in Development, QA, and Production environments.
• Deploy and support MinIO with Apache Iceberg and either Starburst or Dremio platforms.
• Manage data platform deployments on VMware-based on-premises infrastructure.
• Integrate platform components with Git and enterprise security systems such as IAM and PAM.
• Configure authentication, authorization, access controls, connectivity, and security certificates.
• Monitor platform performance, availability, capacity, and health.
• Troubleshoot issues related to platform, infrastructure, configuration, integration, and connectivity.
• Support platform upgrades, patching, backup/recovery, and routine maintenance.

Must haves

• Hands-on experience in data platform administration including installation, configuration, maintenance, and troubleshooting.
• Experience with MinIO and Apache Iceberg in Data Lake or Data Lakehouse environments.
• Experience with Starburst or Dremio platforms.
• Experience deploying and supporting data platforms in on-premises environments.
• Experience integrating platforms with IAM, PAM, and enterprise security components.
• Working knowledge of Git/version control and its integration with platform deployment or configuration.

Nice to haves

• Apache Spark
• Informatica
• Docker
• Kubernetes

Requirements

• Bachelor’s degree in Computer Science or related field.
• 3–5 years of relevant professional experience in Data Platforms, Data Infrastructure, Big Data Platforms, or similar roles.
• Experience with enterprise or on-premises data platform implementation and administration.

We refresh listings regularly, but some roles close early on the source platform.