P-932

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.

As an Engineering Manager on the IAM team at Databricks, you will lead your team to build an available, scalable, and reliable identity system that is necessary to the business. You will be responsible for the delivery of products and features shipped by your team. You will work with engineers and customers to help ensure that we continue to build excellent products with new and improved features.

You will report directly to the Director of Engineering.

The main responsibilities include:

• The team is working on the identity lifecycle. They onboard new customers onto our platform, helping them to create/manage the lifecycle of users, groups and service principles. The team provides scalable and low latency APIs Databricks to query identity information.
• You will work with product partners and the customer to develop a product roadmap; work with the team on the technical design and implementation of the features. You will support customer issues and resolve tech debt.

What we look for:

• Minimum of 2 years of managing experience; experience scaling engineering departments from 5 to 30+ preferred
• Experience leading a team that builds product features that are used by enterprise customers
• Experience working on distributed software systems and building services on top of containers; prior knowledge on cloud identity is an advantage
• Experience hiring and developing talent, especially those in leadership roles
• Experience partnering with the Product team to develop team roadmap and improve customer experience
• Experience creating efficient processes that increase velocity and quality
• BS (Master's Degree or higher) in Computer Science or any 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.

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.

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.