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P-931
Databricks builds and operates some of the largest scale software systems on the planet. Every action and every operation performed on Databricks depends on reliable serving of identity information (users, groups, service principals). This puts Identity services into the critical path of everything else at Databricks and imposes the highest requirements for availability, scalability and performance.
As an Engineering Manager on the Identity Platform team, you will build and operate highly available and scalable services that manage identities across multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud.
You will report directly to the Sr. Manager of Engineering.
The impact you will have:
- You will hire great engineers to build an outstanding team
- You will support engineers in their career development by providing clear feedback, as well developing engineering leaders
- You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
- You will work with engineering and product leadership to build a long-term roadmap
- You will 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 20+
- Team player that will work with other departments (PM, CS) and engineering teams.
- 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 base 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 utilizes 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.
Local Pay Range
$192,000—$260,000 USD
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.
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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