Platform Engineer

Datamatics Technologies

Al Jubayl

On-site

SAR 335,000 - 614,000

Full time

11 days ago

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Job summary

Datamatics Technologies is looking for an experienced Platform Engineer to support an on-premises modern data platform. You will focus on infrastructure setup, platform administration, security integration, and reliability across Development, QA, and Production.

The role requires hands-on experience deploying enterprise data platforms in highly secured environments, with strong troubleshooting and operational capabilities.

Qualifications

  • Hands-on experience deploying on-premises data platforms in highly secured environments.
  • Proficiency configuring and maintaining MinIO, Iceberg, Starburst/Dremio stacks.
  • Strong Linux, VMware, Docker/Kubernetes administration skills.
  • Experience with IAM, PAM, AD/LDAP, SSO, RBAC integration.
  • Solid experience with CI/CD pipelines and Git-based workflows.
  • Ability to troubleshoot deployment, configuration, and connectivity issues across platform stack.

Responsibilities

  • Install, configure, and administer on-premises data platform components.
  • Deploy and manage MinIO Object Storage and Iceberg-based lakehouse.
  • Install and optimize Starburst and/or Dremio for data virtualization and querying.
  • Deploy, administer, and support Apache Spark clusters.
  • Integrate Informatica components with the platform ecosystem.
  • Manage Development, QA, and Production environments.

Skills

MinIO Administration
Apache Iceberg
Starburst Administration
Dremio Administration
Apache Spark Administration
Informatica Administration
Linux System Administration
VMware Infrastructure
Docker/Kubernetes
Git/CI/CD
IAM/PAM Integration
Infrastructure Troubleshooting

Tools

Prometheus
Grafana
Terraform
Ansible

Job description

Job Title: Platform Engineer
Employment Type: 3 to 5 months contract
Experienced Required: 5 to 10 years
Work Location: KSA

Role Overview
Job Description – Platform Engineer

We are seeking an experienced Platform Engineer to support the installation, configuration, integration, and operationalization of an on-premises modern data platform. The role will focus on infrastructure setup, platform administration, security integration, environment management, and platform reliability across Development, QA, and Production environments.

The ideal candidate will have hands‑on experience deploying enterprise data platforms in highly secured environments, with strong troubleshooting, operational support, and infrastructure management capabilities.

  • Install, configure, and administer data platform components in an on-premises environment
  • Deploy and manage MinIO Object Storage and Apache Iceberg-based data lakehouse architecture
  • Install, configure, and optimize Starburst and/or Dremio platforms for data virtualization and querying
  • Deploy, administer, and support Apache Spark clusters and processing services
  • Install, configure, and manage Informatica components and ensure seamless integration with the platform ecosystem
  • Configure and maintain Development, QA, and Production environments
  • Integrate platform components with enterprise security services, including:
    • Identity & Access Management (IAM)
    • Privileged Access Management (PAM)
    • Active Directory / LDAP
    • Single Sign-On (SSO) and Role-Based Access Control (RBAC)
  • Implement and support Git-based DevOps and CI/CD practices
  • Manage monitoring, logging, backup, disaster recovery, and operational readiness processes
  • Collaborate with infrastructure, security, and application teams to ensure platform stability, availability, and performance
  • Troubleshoot deployment, configuration, integration, and connectivity issues across the platform stack
Must-Have Skills
  • 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 Operational Support
Good-to-Have Skills
  • Data Lakehouse Architecture
  • Enterprise Security Architecture
  • Performance Tuning and Capacity Planning
  • Monitoring Tools (Prometheus, Grafana, ELK, etc.)
  • Infrastructure Automation (Terraform, Ansible)
  • Experience working in highly secured enterprise environments
  • Disaster Recovery and Backup Strategy Implementation
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