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Data Platform Engineer

Datamatics Global Services Ltd
Riyadh, KSA
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
Data platform administrationMinIOApache IcebergStarburst or DremioOn-premises data platformsIAM/PAM integrations

Full Job Posting

Role overview

Seeking a Data Platform Engineer to install, configure, administer, and support modern data platforms in an on-premises environment.

The role supports reliable, secure, and scalable environments across Development, QA, and Production.

Work location is Saudi Arabia; the stated environment is on-premises.

Education and experience

  • Bachelor’s degree in Computer Science or a related field.
  • 3–5 years of relevant experience in data platforms, data infrastructure, big data platforms, or a similar technical role.
  • Practical enterprise or on-premises data platform implementation and administration experience is preferred.

Required platform skills

  • Strong hands-on data platform administration, including installation, configuration, maintenance, and troubleshooting.
  • Hands-on MinIO with Apache Iceberg experience in a Data Lake or Data Lakehouse environment.
  • Hands-on experience with Starburst or Dremio.
  • Experience deploying and supporting on-premises data platforms and managing Development, QA, and Production environments.
  • Experience integrating platforms with IAM/PAM and enterprise security components; working knowledge of Git/version control.
  • Good understanding of Data Lake and Data Lakehouse architecture.

Additional skills

  • Good-to-have skills include Apache Spark, Informatica, Docker, Kubernetes, CI/CD, Terraform or Ansible, SQL, monitoring and observability tools, high availability and disaster recovery concepts, and backup and recovery experience.

Responsibilities

  • Install, configure, and administer data platform components across Development, QA, and Production.
  • Deploy and support MinIO with Apache Iceberg and Starburst or Dremio on VMware-based on-premises infrastructure.
  • Integrate platform components with Git, IAM/PAM, and enterprise security systems; configure access, connectivity, and certificates.
  • Monitor performance, availability, capacity, and health; troubleshoot platform, infrastructure, configuration, integration, and connectivity issues.
  • Support upgrades, patching, backup and recovery, and routine operational maintenance; ensure security and operational requirements are met.
  • Collaborate with Data, Infrastructure, Security, and DevOps teams; maintain technical documentation, deployment procedures, and operational runbooks.

Engagement

  • Engagement duration is stated as 3–5 months.

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