Principal Data Engineer / Architect - Individual Contributor

Smartsheet

Bangalore, India
On-site
Databricks lakehouse architecture
Petabyte scale data systems
Ai/mlops workflows on databricks
The role involves designing and overseeing the architecture of scalable data platforms capable of handling petabytes of data using Databricks Lakehouse

Job Summary

  • The role involves designing and overseeing the architecture of scalable data platforms capable of handling petabytes of data using Databricks Lakehouse.
  • Candidates will lead the implementation of modern AI infrastructure patterns including semantic layers for AI agents and MLOps workflows with MLFlow and Mosaic AI.
  • This position offers the opportunity to work across multiple teams at Smartsheet's India Global Capability Center to drive global innovation and product scalability.

Matching Summary

The role involves designing and overseeing the architecture of scalable data platforms capable of handling petabytes of data using Databricks Lakehouse.

Skills & Requirements

Must-have

  • Databricks Lakehouse architecture
  • Petabyte scale data systems
  • AI/MLOps workflows on Databricks
  • Unity Catalog and Vector Search
  • LangChain and LangGraph integration
  • AWS hosted data platform experience

Nice-to-have

  • Snowflake exposure
  • Airbyte or Airflow frameworks
  • Terraform infrastructure as code
  • Kubernetes orchestration
  • Cost optimization strategies

Key Requirements

  • Enterprise SaaS high availability experience
  • In-depth system design for large datasets
  • Legally eligible to work in India

Work Rights

Must be legally eligible to work in India

Tailored Resume

Cover Letter