Platform Engineer

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 & 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 . The ideal candidate should also have a solid understanding of infrastructure, networking, storage, security, and container technologies such as Docker and Kubernetes . 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 .