Staff Software Engineer - Money Team
Databricksover 1 year ago
Base Salary
$182k - $247k/yr
Responsibilities
- Design and manage Money systems and services that commercialize Databricks products and offerings.
- Develop primitives supporting pay-as-you-go pricing, commissions, credits, trials, and promotions.
- Improve engineering and infrastructure efficiency, reliability, accuracy, response times, testing, data quality, reconciliation, and anomaly detection.
- Collaborate with commercialization experts to develop and implement pricing strategies and plans.
- Use AI and LLMs to support cost insight, prediction, and optimization across cloud providers.
- Develop long-term product vision and requirements in partnership with engineering teams.
- Represent Databricks at academic and industry conferences and events.
Requirements
- A BS or higher degree in Computer Science or a related field is required.
- Technical leadership experience on large projects involving near-real-time large-data processing and distributed service infrastructure management.
- A proven track record of building, shipping, and managing reliable distributed services and data pipelines at scale.
- Demonstrated ability to lead across functional and organizational boundaries.
- A proactive approach and commitment to delivering high-quality solutions.
Benefits
- Comprehensive employee benefits and perks are offered, with details varying by region.
- Additional benefits information is provided at the listed Databricks benefits website.
Tech Stack
Categories
BackendData Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).