Hybrid Manager, Data Engineering

Posted 3 minutes ago

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About the role

  • 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
  • Databricks Lakehouse , Medallion Architecture, Unity Catalog, Snowflake
  • Experience in Data Governance ensuring data quality, freshness, integrity
  • Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
  • Programming languages like Python and SQL
  • Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
  • Solution Cost Optimisations and design to cost

Benefits

  • Health insurance
  • Professional development opportunities

Job title

Manager, Data Engineering

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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