Senior Platform Engineer – On-Prem Data Lakehouse & Security

Datamatics Technologies; Al Jubayl; Vor Ort; SAR 335.000 - 614.000; Vollzeit

Zusammenfassung

Datamatics Technologies is looking for an experienced Platform Engineer to support an on-premises modern data platform. You will focus on infrastructure setup, platform administration, security integration, and reliability across Development, QA, and Production.

The role requires hands-on experience deploying enterprise data platforms in highly secured environments, with strong troubleshooting and operational capabilities.

Qualifikationen

• Hands-on experience deploying on-premises data platforms in highly secured environments.
• Proficiency configuring and maintaining MinIO, Iceberg, Starburst/Dremio stacks.
• Strong Linux, VMware, Docker/Kubernetes administration skills.
• Experience with IAM, PAM, AD/LDAP, SSO, RBAC integration.
• Solid experience with CI/CD pipelines and Git-based workflows.
• Ability to troubleshoot deployment, configuration, and connectivity issues across platform stack.

Aufgaben

• Install, configure, and administer on-premises data platform components.
• Deploy and manage MinIO Object Storage and Iceberg-based lakehouse.
• Install and optimize Starburst and/or Dremio for data virtualization and querying.
• Deploy, administer, and support Apache Spark clusters.
• Integrate Informatica components with the platform ecosystem.
• Manage Development, QA, and Production environments.

Kenntnisse

MinIO Administration

Apache Iceberg

Starburst Administration

Dremio Administration

Apache Spark Administration

Informatica Administration

Linux System Administration

VMware Infrastructure

Docker/Kubernetes

Git/CI/CD

IAM/PAM Integration

Infrastructure Troubleshooting

Tools

Prometheus

Grafana

Terraform

Ansible

Jobbeschreibung

Datamatics Technologies is looking for an experienced Platform Engineer to support an on-premises modern data platform. You will focus on infrastructure setup, platform administration, security integration, and reliability across Development, QA, and Production.

The role requires hands-on experience deploying enterprise data platforms in highly secured environments, with strong troubleshooting and operational capabilities.