Platform Engineer

Datamatics Technologies; Eastern Province; Hybride; SAR 180 000 - 240 000; Plein temps

Résumé du poste

Datamatics Technologies in Saudi Arabia is seeking a hands-on Data Platform Engineer to install, configure, administer and support data platform components in on-premises environments. The role requires VMware-based infrastructure, IAM/PAM security integration, and Git-based deployment processes across Dev, QA and Production.

You will work with Docker and Kubernetes for containerized deployments and collaborate with multiple teams to maintain a stable, secure, highly available data platform.

Qualifications

• 3–5 years of relevant experience in Data Platform Engineering, infrastructure or Platform Administration.
• Strong hands-on experience with installation and configuration of data platform components in on-premises environments.
• Strong understanding and hands-on experience in Platform Administration.
• Experience working with VMware-based infrastructure.
• Hands-on experience integrating platforms and deployment configuration processes with Git.
• Experience with enterprise security integrations involving IAM and PAM.
• Good knowledge of platform deployment, configuration, maintenance, upgrades, monitoring and troubleshooting.
• Experience supporting Development, QA and Production environments.
• Good understanding of infrastructure, networking, storage, backup/recovery and security concepts relevant to enterprise data platforms.
• Exposure to Docker and/or Kubernetes for containerized platform deployments.

Responsabilités

• Install, configure, deploy and maintain data platform components in on-premises environments.
• Perform day-to-day Data Platform Administration: monitoring, maintenance, upgrades and operational support.
• Deploy and support data platform components running on VMware-based infrastructure.
• Integrate platform configurations and deployment processes with Git-based version control.
• Integrate data platforms with enterprise security solutions including IAM and PAM.
• Support platform deployment and operations across Development, QA and Production environments.
• Monitor platform availability, performance, capacity, resource utilization and overall platform health.
• Troubleshoot and resolve platform infrastructure deployment, configuration, storage, network and integration issues.
• Support containerized platform components using Docker and/or Kubernetes where applicable.
• Collaborate with Data Engineering, Infrastructure, DevOps, Security, Network and Application teams to maintain a stable, secure and highly available data platform.

Connaissances

Data Platform Eng

Platform Administration

VMware

Git Integration

IAM PAM

Networking & Storage

Troubleshooting

DevOps Collaboration

Formation

Bachelor's Degree in Computer Science or related field

Outils

Docker

Kubernetes

Git

VMware

Informatica (good-to-have)

Description du poste

Work Location Saudi Arabia KSA

Experience 3 5 Years

Job Title Data Platform Engineer

Employment Type Full-Time

Work Mode On-site Hybrid based on project requirements

Education Bachelor s Degree in Computer Science or a related field

Engagement Duration 3 5 Months

Environment On-Premises Dev QA amp Production

Job Summary

We are looking for a hands‑on Data Platform Engineer with strong experience in the installation, configuration, administration and support of data platform components in on‑premises environments. The role requires experience with platform administration, VMware‑based infrastructure, Git integration and enterprise security integration involving IAM and PAM. The engineer will be responsible for supporting platform deployment, configuration, maintenance, troubleshooting and operational activities across Development, QA and Production environments. The ideal candidate should also have a solid understanding of infrastructure, networking, storage, security and container technologies such as Docker and Kubernetes.

Key Responsibilities

• Install, configure, deploy and maintain data platform components in on‑premises environments.
• Perform day‑to‑day Data Platform Administration: monitoring, maintenance, upgrades and operational support.
• Deploy and support data platform components running on VMware‑based infrastructure.
• Integrate platform configurations and deployment processes with Git‑based version control.
• Integrate data platforms with enterprise security solutions including IAM and PAM.
• Support platform deployment and operations across Development, QA and Production environments.
• Monitor platform availability, performance, capacity, resource utilization and overall platform health.
• Troubleshoot and resolve platform infrastructure deployment, configuration, storage, network and integration issues.
• Support containerized platform components using Docker and/or Kubernetes where applicable.
• Collaborate with Data Engineering, Infrastructure, DevOps, Security, Network and Application teams to maintain a stable, secure and highly available data platform.

Must‑Have Skills

• 3-5 years of relevant experience in Data Platform Engineering, infrastructure or Platform Administration.
• Strong hands‑on experience with installation and configuration of data platform components in on‑premises environments.
• Strong understanding and hands‑on experience in Platform Administration.
• Experience working with VMware‑based infrastructure.
• Hands‑on experience integrating platforms and deployment configuration processes with Git.
• Experience with enterprise security integrations involving IAM and PAM.
• Good knowledge of platform deployment, configuration, maintenance, upgrades, monitoring and troubleshooting.
• Experience supporting Development, QA and Production environments.
• Good understanding of infrastructure, networking, storage, backup/recovery and security concepts relevant to enterprise data platforms.
• Exposure to Docker and/or Kubernetes for containerized platform deployments.

Good‑to‑Have Skills

• Experience with MinIO and Apache Iceberg.
• Experience with Starburst or Dremio.
• Experience with Apache Spark.
• Experience with Informatica.
• Understanding of modern Data Lake and Data Lakehouse architectures.