Platform Engineer( On-Premises)
At a glance
Mid-level Platform & Infrastructure role at Datamatics Technologies. Bengaluru · full-time.
Pay not stated Platform Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Set up and configure on-premises data platform components, then keep them running across environments
- Handle routine administration, upgrades, monitoring and operational support for the platform
- Run platform components on VMware and connect configuration and deployment workflows to Git
- Integrate platform settings with enterprise IAM and PAM, and resolve related deployment or infrastructure problems
- Check availability, capacity, resource use and performance; investigate issues involving storage, networks and containers
What you bring
- Three to five years in data platform engineering, infrastructure or platform administration
- Hands-on background installing and configuring on-premises data platform components, with platform administration experience
- Experience using VMware, integrating Git into platform workflows, and connecting platforms to IAM and PAM
- A bachelor's degree in computer science or a related field
Who this fits
This role suits a hands-on engineer supporting development, QA and production platforms. The work is in Saudi Arabia, with on-site or hybrid arrangements depending on project needs, for a three-to-five-month engagement.
From the employer
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.
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