Manager, Data Engineering (hybrid in Bangalore)

Smartsheet Smartsheet · Seattle · India · Engineering - Developers

Manager, Data Engineering role at Smartsheet, focusing on leading a team to build and maintain a scalable, reliable, and cost-efficient data platform. The role involves people management, technical leadership, and ensuring data governance and compliance for AI applications within an enterprise SaaS environment.

What you'd actually do

  1. Focus on team members and coaching them to play to their strengths, grow and deliver peak performance
  2. Lead and mentor a team of data engineers and operations specialists.
  3. Define and govern solutions for data platform ensuring scalability, cost-efficiency, and reliability
  4. Develop and maintain data platform, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines
  5. Ensure all AI applications adhere to regulatory compliance, security, and ethical guidelines

Skills

Required

  • 10-12 years of overall experience
  • at least 2 years experience in end to end people management
  • Enterprise SaaS software solutions with high availability and scalability
  • Experience building teams through recruiting and retention
  • 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)
  • 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

Nice to have

  • Experience in AWS hosted data platform is preferable

What the JD emphasized

  • end to end people management
  • data, AI and analytics use cases