Manager, Data Engineering role focusing on team leadership and data platform governance at Smartsheet India. Driving innovation and performance in a global operations hub.
Responsibilities
Focus on team members and coaching them to play to their strengths, grow and deliver peak performance
Lead and mentor a team of data engineers and operations specialists.
Define and govern solutions for data platform ensuring scalability, cost-efficiency, and reliability
Develop and maintain data platform, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines
Delegate and harness the aggregate strength of your team.
Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values.
Actively helps individuals and the overall team to set priorities and focus on delivery of commitments
Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security
Lead and facilitate cross-team interactions, communication, and dependencies
Ensure all changes are fully tested before being deployed
Ensure deployment plans are well-considered and include appropriate scalability and load tests
Facilitate feedback and discussions with Product and Engineering teams on customer needs, user experience, implementation efficiency, and performance
Work with stakeholders to align data platform with business strategies.
Ensure all AI applications adhere to regulatory compliance, security, and ethical guidelines
Drive Engineering and Operational excellence initiatives
Perform other duties as assigned
Requirements
Legally eligible to work in India on an ongoing basis
Enterprise SaaS software solutions with high availability and scalability
Experience building teams through recruiting and retention
Experience in Leading and Mentoring a team of Data engineers and DevOps engineers.
Solution handling large scale structured and unstructured data from varied data sources
Experience in building and maintaining Data platform systems ensuring scalability, reliability, efficiency and security
Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
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