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naukri

Data Platform Lead / Administrator (DevOps)

Datamatics Technologies
Riyadh, KSA
Lead
Today
Data Platform AdministrationData WarehousingData LakesInfrastructure as Code (IaC)CI/CDDevOps
Free

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Data Platform AdministrationData WarehousingData Lakes
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Key Responsibilities

  • Lead the administration, management, and continuous improvement of enterprise data platforms and supporting infrastructure.
  • Design, implement, and maintain scalable, secure, and highly available data platform environments.
  • Ensure enterprise data platforms align with organizational strategy and data governance requirements.
  • Manage operational support activities for data lakes, data warehouses, reporting platforms, and content management systems.
  • Support deployment, configuration, upgrades, and patch management of enterprise data platforms.

Infrastructure & Performance Management

  • Monitor platform health, availability, and performance to ensure compliance with service level agreements (SLAs).
  • Perform platform performance tuning, capacity planning, and resource optimization.
  • Implement logging, monitoring, alerting, and operational dashboards for proactive platform management.
  • Manage backup, recovery, disaster recovery, and business continuity processes for enterprise data platforms.
  • Troubleshoot infrastructure and platform issues, ensuring timely resolution.

Data Integration & Engineering Support

  • Collaborate with Data Architects, Data Modelers, Database Administrators, and ETL developers to support efficient data ingestion, storage, and processing.
  • Support implementation and optimization of data pipelines and integration services.
  • Ensure reliable operation of enterprise data processing and analytics platforms.
  • Support document management and enterprise content management platform integration.

Governance, Security & Compliance

  • Implement and maintain platform security, access controls, authentication, and authorization mechanisms.
  • Support implementation of enterprise Data Governance, Data Privacy, and Information Security requirements.
  • Ensure compliance with organizational policies and regulatory standards related to data management.
  • Collaborate with governance and security teams to enforce platform controls and audit requirements.

Automation & DevOps

  • Drive automation, modernization, and standardization initiatives across the data platform environment.
  • Implement Infrastructure as Code (IaC), CI/CD pipelines, and DevOps practices for platform deployment and maintenance.
  • Automate operational monitoring, provisioning, deployment, and maintenance activities.
  • Improve operational efficiency through scripting, orchestration, and workflow automation.

Stakeholder Collaboration

  • Partner with business users, analytics teams, and technical stakeholders to enable secure and efficient access to enterprise data.
  • Support enterprise reporting, analytics, and business intelligence initiatives.
  • Provide technical guidance, documentation, and operational support for platform users.
  • Participate in solution design, implementation, testing, deployment, and production support activities.

Education

  • Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Engineering, Data Management, or a related discipline.

Experience

  • Minimum 5 years of experience managing and administering enterprise data platforms, data warehouses, data lakes, or business intelligence platforms.
  • Experience supporting cloud and on premises enterprise data environments.
  • Experience implementing platform monitoring, backup, recovery, and disaster recovery solutions.
  • Experience supporting enterprise Data Governance, Data Quality, or Data Privacy platforms is highly desirable.
  • Experience leading technical teams and collaborating with cross functional stakeholders.

Mandatory Skills

  • Strong Arabic and English communication skills (written and verbal).
  • Strong experience in enterprise data platform administration, engineering, or architecture.
  • Strong understanding of cloud and hybrid data platform architectures.
  • Experience with ETL processes, data integration, and data modeling concepts.
  • Strong understanding of data governance, security, identity management, and regulatory compliance.
  • Experience implementing monitoring, logging, automation, and operational support processes.
  • Excellent analytical, troubleshooting, and problem solving skills.
  • Strong project coordination, documentation, and stakeholder management capabilities.

Regulatory Knowledge

  • Good understanding of SDAIA Data Management Framework.
  • Good understanding of NDMO Data Management Standards.
  • Good understanding of Personal Data Protection Law (PDPL).
  • Good understanding of Information Security and Data Governance best practices.

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