Platform Engineer

Datamatics Global Service; Saudi Arabia; Presencial; SAR 167.000 - 312.000; A tiempo parcial

Descripción de la vacante

Datamatics Global Service is seeking an experienced Platform Engineer to implement and maintain an on-premises data platform across Development, QA, and Production environments. You will install and configure MinIO, Apache Iceberg, Starburst/Dremio, and Apache Spark clusters, ensuring secure integration with IAM/PAM, AD/LDAP, and SSO.

The role emphasizes reliability, monitoring, and CI/CD practices to support enterprise workloads.

Formación

• Hands-on administration of MinIO, Iceberg, Spark, Informatica.
• Experience deploying and managing on-premises data platforms in secure environments.
• Proficiency with IAM/PAM, SSO, LDAP and RBAC integrations.
• Experience with DevOps and CI/CD pipelines (Git-based).
• Strong troubleshooting, monitoring, logging, backup, DR readiness.

Responsabilidades

• Install, configure and administer data platform components in on-premises environment.
• Deploy and manage MinIO, Iceberg-based data lakehouse architecture.
• Install and optimize Starburst and/or Dremio for data virtualization and querying.
• Manage Apache Spark clusters and processing services.
• Install and integrate Informatica components; ensure platform ecosystem compatibility.
• Configure Development, QA, Production environments; ensure security alignment.
• Integrate platform components with IAM, PAM, AD/LDAP, SSO, RBAC.

Herramientas

MinIO Administration

Apache Iceberg

Starburst/Dremio Administration

Apache Spark Administration

Informatica Administration

Linux System Administration

VMware Infrastructure

Docker/Kubernetes

Git/CI-CD Integration

IAM/PAM Integration

Infrastructure Troubleshooting & Ops

Descripción del empleo

Job Description – Platform Engineer

Job Title: Platform Engineer
Employment Type: Contractual 3 to 5 month
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 environmentsDisaster Recovery and Backup Strategy Implementation