Staff Software Engineer - Data Platform

Databricks
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Mentoring","Problem-solving"]

Senior-level software engineering role focused on building and operating Databricks’ Data Intelligence Platform. Lead architecture for planet-scale production data systems, develop tooling for Databricks at scale across clouds, and collaborate with Product, Data Science, and engineering teams to deliver scalable data pipelines, governance, and analytics capabilities.

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FursaFursa
Databricks
Databricks
2 years ago

Staff Software Engineer - Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Senior-level software engineering role focused on building and operating Databricks’ Data Intelligence Platform. Lead architecture for planet-scale production data systems, develop tooling for Databricks at scale across clouds, and collaborate with Product, Data Science, and engineering teams to deliver scalable data pipelines, governance, and analytics capabilities.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks.
  • •Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types (CI/CD, test frameworks, data quality, IaC).
  • •Partner with engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
  • •Build reliable data pipelines and solve data problems using Databricks, partner products, and OSS tools; provide early feedback on design and operations.
  • •Represent Databricks at academic and industrial conferences and events.

Key Requirements

  • •BS/MS/PhD in Computer Science or related majors, or equivalent experience.
  • •10+ years of industry experience building and operating large-scale distributed systems.
  • •4+ years of experience providing technical leadership on planet-scale production data systems
  • •Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines)
  • •Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments
Experience:10+ yearsDistributed systemsData platformAI infrastructureDatabricks
Education:Bachelor's in Computer ScienceDatabricks India Private Limited
Skills:CommunicationLeadershipMentoringProblem-solving
Languages:English
Tech Stack:DatabricksApache SparkDelta LakeMLflowCI/CDInfrastructure as codeOSSKubernetesCloud

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn