Platform Engineer

Datamatics Technologies LLC

Riyadh

On-site

SAR 180,000 - 360,000

Full time

42 hours ago
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Job summary

Datamatics Technologies LLC seeks an experienced Platform Engineer to install, configure, and operationalize an on-premises data platform across Development, QA, and Production environments.

The role emphasizes infrastructure setup, platform administration, IAM/PAM integration, and secure access. You will deploy Spark clusters, manage data lakehouse components, and ensure high availability and performance in a highly secured enterprise setting.

Qualifications

  • Must have hands-on experience administering MinIO, Iceberg, Starburst/Dremio, Spark and Informatica.
  • Proven Linux system administration and VMware infrastructure skills.
  • Experience with Docker and Kubernetes in production environments.
  • Solid Git-based CI/CD integration and automation capabilities.
  • Experience with IAM/PAM integration and secure access controls.
  • Strong troubleshooting and operational support for on-premises platforms.

Responsibilities

  • Install, configure, and administer data platform components in an on-premises environment.
  • Deploy and manage MinIO and Iceberg-based data lakehouse architecture.
  • Install and optimize Starburst and/or Dremio for data virtualization and querying.

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 Op.

Tools

MinIO
Apache Iceberg
Starburst/Dremio
Apache Spark
Informatica
Linux
VMware
Docker
Kubernetes
Git
CI/CD
IAM
PAM

Job description

Job Description – Platform Engineer

Job Title: Platform Engineer
Employment Type: Full-Time
Experienced Required: 5 to 10 years
Work Location: KSA

Role Overview

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.

Key Responsibilities
  • 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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