About the Role
We are seeking a skilled Data Platform Engineer with hands-on experience in installing, configuring, administering, and supporting modern data platforms in an on-premises environment. The ideal candidate should possess strong expertise in Platform Administration, MinIO (+ Apache Iceberg), and either Starburst or Dremio, along with experience in Linux, VMware, Git, and enterprise security integrations. This role focuses on implementing and supporting reliable, secure, and scalable data platform environments across Development, QA, and Production.
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Key Responsibilities
- Install, configure, and administer data platform components across Dev, QA, and Production environments.
- Deploy, configure, and support MinIO (+ Apache Iceberg) and Starburst or Dremio.
- Manage data platform deployments on VMware-based on-premises infrastructure.
- Integrate platform components with Git and enterprise security components, including IAM and PAM.
- Configure authentication, authorization, access controls, connectivity, and security certificates.
- Monitor platform performance, availability, capacity, and overall health.
- Troubleshoot platform, infrastructure, configuration, integration, and connectivity issues.
- Support platform upgrades, patching, backup/recovery, and routine operational maintenance.
- Ensure platform configurations follow security, availability, and operational requirements.
- Collaborate with Data, Infrastructure, Security, and DevOps teams during platform implementation and support.
- Maintain technical documentation, platform configurations, deployment procedures, and operational runbooks.
Must-Have Skills
- Strong hands-on experience in Data Platform Administration, including installation, configuration, administration, maintenance, and troubleshooting.
- Hands-on experience with MinIO (+ Apache Iceberg) in a Data Lake or Data Lakehouse environment.
- Hands-on experience with Starburst OR Dremio.
- 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 processes.
- Good understanding of Data Lake and Data Lakehouse architecture.
- Experience managing and supporting Development, QA, and Production environments.
Good-to-Have Skills
- Apache Spark
- Informatica
- Docker
- Kubernetes
- CI/CD tools and practices
- Terraform / Ansible
- SQL
- Monitoring and observability tools
- High Availability and Disaster Recovery concepts
- Backup and recovery experience
Education & Experience
- Bachelor’s degree in Computer Science or a related field.
- 3–5 years of relevant professional experience in Data Platforms, Data Infrastructure, Big Data Platforms, or a similar technical role.
- Practical experience in enterprise or on-premises data platform implementation and administration is preferred.
