Staff Software Engineer
Money Team
Confirmed live in the last 24 hours
Databricks

5,001-10,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Data & Analytics

Company Stage

Series I

Total Funding

$4.2B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

30%

2 year growth

115%
Locations
Bellevue, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
CategoriesNew
Software Engineering
Requirements
  • BS or higher degree in Computer Science or a related field
  • Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management
  • Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale
  • Demonstrated leadership skills and the ability to lead across functional and organizational boundaries
Responsibilities
  • Design and manage the Money systems and services, commercializing all Databricks products and offerings
  • Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions
  • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection
  • Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans
  • Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers
  • Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams
  • Represent Databricks at academic and industrial conferences & events
Desired Qualifications
  • Experience with Databricks Data + AI tools