P-1257
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Senior Engineering Manager at Databricks, you will lead teams to build available, scalable and reliable software that is necessary to the business. You will be responsible for delivery of products and features shipped by your teams. You will work with engineers and customers to help ensure that we continue to build excellent products with new and improved features.
The impact you will have:
- Hire great engineers to build an outstanding team
- Support engineers in their career development by providing clear feedback and developing engineering leaders
- Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
- Work with engineering and product leadership to build a long-term roadmap
- Coordinate execution and collaborate across teams to unblock cross-cutting projects
What we look for:
- Great at hiring and developing talent, especially leadership
- Great at creating efficient processes that increase velocity and quality
- Managed teams that build and operate high-volume distributed systems in a SaaS environment
- 5+ years of experience with distributed systems and building services on top of containers
- Have experience scaling engineering teams from 5 to 30+
- Team player that will work with other departments (PM, Sales, CS)
- BS or higher in Computer Science, or a related field
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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