Senior Platform Engineer - On-Prem Data Lakehouse (KSA)

Datamatics Technologies LLC; Riyadh; Vor Ort; SAR 180.000 - 360.000; Vollzeit

Zusammenfassung

Datamatics Technologies LLC seeks an experienced Platform Engineer to install, configure, and operationalize an on-premises data platform across Development, QA, and Production environments.

The role emphasizes infrastructure setup, platform administration, IAM/PAM integration, and secure access. You will deploy Spark clusters, manage data lakehouse components, and ensure high availability and performance in a highly secured enterprise setting.

Qualifikationen

• Must have hands-on experience administering MinIO, Iceberg, Starburst/Dremio, Spark and Informatica.
• Proven Linux system administration and VMware infrastructure skills.
• Experience with Docker and Kubernetes in production environments.
• Solid Git-based CI/CD integration and automation capabilities.
• Experience with IAM/PAM integration and secure access controls.
• Strong troubleshooting and operational support for on-premises platforms.

Aufgaben

• Install, configure, and administer data platform components in an on-premises environment.
• Deploy and manage MinIO and Iceberg-based data lakehouse architecture.
• Install and optimize Starburst and/or Dremio for data virtualization and querying.

Kenntnisse

MinIO Administration

Apache Iceberg

Starburst and/or Dremio Administration

Apache Spark Administration

Informatica Administration

Linux System Administration

VMware Infrastructure

Docker and/or Kubernetes

Git and CI/CD Integration

IAM/PAM Integration

Infrastructure Troubleshooting and Op.

Tools

MinIO

Apache Iceberg

Starburst/Dremio

Apache Spark

Informatica

Linux

VMware

Docker

Kubernetes

Git

CI/CD

IAM

PAM

Jobbeschreibung

Datamatics Technologies LLC seeks an experienced Platform Engineer to install, configure, and operationalize an on-premises data platform across Development, QA, and Production environments.

The role emphasizes infrastructure setup, platform administration, IAM/PAM integration, and secure access. You will deploy Spark clusters, manage data lakehouse components, and ensure high availability and performance in a highly secured enterprise setting.