Platform Engineer

Datamatics Technologies; Riyadh; Presencial; SAR 180 000 - 300 000; Tempo integral

Resumo da oferta

Datamatics Technologies in Saudi Arabia is seeking a hands-on Data Platform Engineer to install, configure and support on-premises data platform components with VMware-based infrastructure and Git integration. The role covers development, QA and production environments and requires IAM/PAM security integration, networking, storage, and container tech such as Docker and Kubernetes.

The ideal candidate will have 3–5 years of relevant experience and a bachelor’s degree in computer science or a

Qualificações

• 3–5 years of relevant experience in Data Platform Engineering, infrastructure, or Platform Administration.
• Hands-on experience with installation and configuration of data platform components in on-premises environments.
• Strong understanding of platform administration and VMware-based infrastructure.
• Experience integrating deployment/configuration with Git and enterprise security integrations involving IAM and PAM.
• Knowledge of platform deployment, maintenance, monitoring, upgrades, troubleshooting across Development, QA and Production environments.

Responsabilidades

• Install, configure, deploy and maintain data platform components in on-premises environments.
• Monitor and support day-to-day data platform administration, upgrades and performance.
• Deploy data platform components on VMware-based infrastructure.
• Integrate deployment processes with Git-based version control.
• Implement enterprise security integrations including IAM and PAM.
• Support platform deployment and operations across Development, QA and Production environments.
• Ensure platform health through monitoring, resource utilization and incident resolution.
• Collaborate with various teams to maintain a stable, secure and highly available data platform.

Conhecimentos

Data Platform Eng

On-prem installation

VMware

Git integration

IAM/PAM integration

Monitoring & troubleshooting

Networking & storage

Docker/Kubernetes exposure

Dev/QA/Prod support

Formação académica

Bachelor's Degree in Computer Science or related field

Ferramentas

VMware

Git

Docker

Kubernetes

MinIO

Apache Iceberg

Starburst

Dremio

Apache Spark

Informatica

Descrição da oferta de emprego

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
• 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.