Job Location - Riyadh - KSAJob Purpose
The Data Platform Lead / Administrator is responsible for designing, managing, administering, and optimizing the organization's data platform infrastructure, ensuring the availability, security, scalability, and performance of enterprise data management, data governance, data quality, and data privacy platforms.
The role collaborates with Data Architects, Data Modelers, Database Administrators, DevOps, Information Security, and business stakeholders to enable reliable data integration, storage, processing, and access while supporting enterprise data governance and regulatory compliance initiatives.
The Data Platform Lead also oversees the operational support, monitoring, maintenance, automation, and continuous improvement of enterprise data platforms throughout the project lifecycle.
Key ResponsibilitiesData Platform Management- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Engineering, Data Management, or a related discipline.
- 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.
- 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.
Good understanding of:
- SDAIA Data Management Framework
- NDMO Data Management Standards
- Personal Data Protection Law (PDPL)
- Information Security and Data Governance best practices
Candidates should have experience with one of the following technology stacks:
Option 1 (Open Source / Cloud Stack)Must Have
- DevOps platform setup and administration
Good to Have
- OpenMetadata
- Great Expectations
- Ethyca Fides
Must Have
- DevOps platform setup for Informatica Secure Agent
- Informatica Intelligent Data Management Cloud (IDMC)
- Cloud Data Governance & Catalog (CDGC)
- Cloud Data Quality (CDQ)
Additional Experience Preferred
- Microsoft Azure
- AWS
- Snowflake
- SQL Server
- Databricks
- Microsoft Dynamics
One or more of the following certifications is preferred:
- Microsoft Certified: Azure Data Engineer Associate
- AWS Certified Data Engineer
- Snowflake SnowPro Certification
- Databricks Certified Data Engineer
- Microsoft Azure Administrator
- Kubernetes Administrator (CKA)
- Docker Certified Associate
- DevOps Engineer Certification
- Informatica Professional Certification
- Equivalent cloud, DevOps, or enterprise data platform certifications
Skills Required
- Bachelor's degree in Computer Science, IT, Information Systems, Data Engineering or related
- Minimum 5 years managing and administering enterprise data platforms, data warehouses, data lakes, or BI platforms
- Strong Arabic and English communication skills (written and verbal)
- 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
- Understanding of data governance, data privacy, security, and identity management
- Experience implementing monitoring, logging, automation, backup, recovery, and DR for data platforms
- DevOps platform setup and administration (Open Source / Cloud option) OR DevOps platform setup for Informatica Secure Agent and Informatica IDMC/CDGC/CDQ (Enterprise Informatica option)
- Experience supporting cloud and on-premises enterprise data environments (Azure, AWS)
- Experience with Snowflake, Databricks, SQL Server, or similar data processing/storage platforms
- Experience leading technical teams and collaborating with cross-functional stakeholders
- Familiarity with SDAIA Data Management Framework, NDMO standards, PDPL, information security and governance best practices
- Preferred certifications: Azure Data Engineer, AWS Data Engineer, SnowPro, Databricks, CKA, Docker, DevOps or Informatica certifications
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.
