L3 Data Collaboration Engineer (RARR Job 6356)

Role Summary:

The Level 3 Engineer will have a deep expertise in Data Collaboration This role required advanced troubleshooting skills solution design capabilities and the ability to lead and support enterprise operations The ideal candidate will process working knowledge of Splunk for Data Collaboration analysis The role focuses on providing escalation support leading complex change implementation and ensuring Data Collaboration service quality in a large scale multi site

Key Responsibilities

• Manage Data Collaboration architecture in complex enterprise environment
• Act as the final point of escalation for critical highimpact incidents that L1 and L2 teams cannot resolve
• Responsible for managing action and future requests including automation initiative
• Serve as technical SME for all related initiatives
• Lead advance trouble shooting and root cause analysis for Data Collaboration related incidents
• Integrated Data Collaboration logging with Splunk for analytics ing and compliance reporting
• Provide technical leadership to Level 1 and Level 2 teams including mentoring and knowledge transfer
• Collaborate with Data Collaboration teams for seamless end to end solutions
• Drive improvements in access control performance and user experience across Data Collaboration deployments
• Participate in change management risk assessment and stakeholder communication
• Maintain technical documentation solution design and runbooks in alignment with compliant standards
• Resources should take care of RCA design action plans for daily operations and help in the resolution
• Manage and prioritize the future or upcoming request They should be able to present their POV regarding the upcoming changes
   

Required Skills Experience

• Collaborative file storage MS SharePoint Online MS Teams File storage MS Stream AvePoint
• Content CoCreation MS Forms MS Whiteboard MS Loop components Klaxoon Kahoot Canva
• Project Team Organization MS Planner MS Lists MS Shift Asana Monday Trello
• People Connection MS Viva Engage
• Experience multisite or international is highly desirable
• Experience in complex environment
• Troubleshooting root cause analysis

Key Competencies

• Strong troubleshooting and problemsolving skills
• Ability to work in shift based or on call support environments
• Effective communication
• Team player with a proactive attitude

Bachelors Masters degree in Computer Science IT or related field