We are looking for a Global M365 Data Engineer, reporting to the Productivity & UX AI Product Manager. This individual is responsible for executing strategies related to M365 collaboration tools, with a primary focus on SharePoint Online, OneDrive and Microsoft Teams across all Group entities. The role plays a key part in designing, governing, and optimizing SharePoint-based collaboration services to improve productivity, information management, and user experience on a global scale.
The Global M365 Data Engineer will work with various audiences ranging from technical teams to executives. Provide technical and functional expertise on SharePoint Online, OneDrive, Microsoft Teams integration, Microsoft 365 Groups, permissions models, site architecture, and content management.
Support local IT teams across 46 countries and offshore support teams in deploying, managing, and optimizing SharePoint-based collaboration services.
Define and maintain SharePoint architecture standards, including site design, hub structure, information architecture, navigation, metadata, managed properties,



sharing, and ownership models.
Implement data lifecycle management, storage optimization, archiving and backup solutions, including SharePoint Advanced Management, Microsoft 365 Backup, and Microsoft 365 Archive.
Oversee implementation projects to ensure compliance with architecture, security, identity, records management, and data governance standards.
Drive continuous improvement initiatives to maintain high service quality, improve platform adoption, reduce operational risk, and standardize SharePoint usage across the organization.
Conduct technology watch on SharePoint Online, SharePoint Advanced Management, Microsoft 365 Archive/Backup, OneDrive, Teams-connected sites, and related Microsoft 365 collaboration capabilities.

8-10 years of experience.
~ Comprehensive expertise in global administration of Microsoft 365 tenants, including architecture, engineering, governance, and operationa

📌 Data Engineer (Gurugram)
🏢 Sodexo
📍 Gurugram