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
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.
- 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.
- 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.
Skills Required
- 3–5 years of relevant experience in data platform engineering, infrastructure, or platform administration
- Hands-on experience installing and configuring data platform components in on-premises environments
- Hands-on experience with platform administration
- Experience with VMware-based infrastructure
- Hands-on experience integrating platforms and deployment or configuration processes with Git
- Experience with enterprise security integrations involving IAM and PAM
- Knowledge of platform deployment, configuration, maintenance, upgrades, monitoring, and troubleshooting
- Experience supporting development, QA, and production environments
- Understanding of infrastructure, networking, storage, backup and recovery, and security concepts
- Exposure to Docker and/or Kubernetes
- 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
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
