Sr. Staff Software Engineer - Money Team

Databricks
Bellevue
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 9+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Problem-solving"]

Lead design and implementation of Money team billing systems and services at Databricks, covering usage ingestion, metering, pricing, credits, payments, and budgeting. Collaborate with marketing, product, commercialization experts, data scientists, IT, and customer support to standardize billing across major cloud providers (AWS, GCP & Azure) and drive innovative pricing strategies, cost insight, and optimization using Databricks Data + AI tools.

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FursaFursa
Databricks
Databricks
9 months ago

Sr. Staff Software Engineer - Money Team

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead design and implementation of Money team billing systems and services at Databricks, covering usage ingestion, metering, pricing, credits, payments, and budgeting. Collaborate with marketing, product, commercialization experts, data scientists, IT, and customer support to standardize billing across major cloud providers (AWS, GCP & Azure) and drive innovative pricing strategies, cost insight, and optimization using Databricks Data + AI tools.
Location: Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key 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.

Key Requirements

  • •BS or higher degree in Computer Science or a related field.
  • •9+ years of experience building 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.
  • •A proactive approach and a passion for delivering high-quality solutions
Experience:9+ yearsDataAICloudSaaS
Education:Bachelor's in Computer ScienceN/A
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:CI/CDDistributed systemsData pipelinesLLMs

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