Job Requirements:

• Bachelor's degree in computer science, Information Management, or related experience.
  

Work Experience:

• 2 years of experience administering data platforms such as Power BI, Databricks / Unity Catalog.
  

• 5 years of experience in one of the key data functions such as Data Engineering and Data Analytics.
  

• Strong understanding of data classification, protection, tagging, and cataloging.
  

• Excellent communication and interpersonal skills, with the ability to effectively engage with diverse stakeholders.
  

• Non-profit and international humanitarian aid experience is a plus.
  

• Administer and manage configurations across Data Platforms (including Azure Purview, Databricks and Power BI)
  

• Implement and maintain role-based access controls (RBAC), workspace administration, group-based identity management, and platform-level privileged roles.
  

• Manage platform auditing, monitoring, compliance, and license governance.
  

• Support in implementing Enterprise Data Cataloging processes and practices such as column definition, data classification and ownership identification.
  

• Administer and manage support tickets such as license provisioning, grating access, and issue troubleshooting.
  

• Train data owners and stewards on new guidelines, standards and processes.
  

• Document and maintain privileged roles across data platforms (such as Fabric Admin, Databricks Account Admin, Domain Admin, etc.).
  

• Align data platform configurations and processes with internal policies and compliance requirements such as Global Information Security and Data Protection policies.
  

• Develop and maintain usage / audit logs monitoring tools.
  

• Work closely with Data Team leads, Data Engineering teams, Business Analysts, and other IT members to ensure platform governance and business alignment.
  

• Support data owners and custodians in implementing proper data control, classification, and access processes.
  

• Maintain clear documentation, workflows, and platform administration guidelines.
  

• Support in evaluating data platforms’ enhancements and new capabilities/features.
  

• Monitor data platforms performance such as Power BI premium capacities.