P-932

Databricks, founded by the original creators of Apache Spark™, Delta Lake, and MLflow, is a global leader in data, analytics, and artificial intelligence. Our mission is to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. 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. With over 9,000 organizations worldwide relying on Databricks, we are at the forefront of innovation in data and AI.

Our Serverless Compute Platform is at the heart of this mission, helping customer workloads run in the cloud - from Spark-based Data Analytics, Data Engineering, and Data Warehousing to the latest workloads in GenAI and ML space. As the Senior Engineering Manager in the Serverless Compute Platform organization, you'll lead the development of a reliable, available, and scalable Serverless Compute platform that is important to the business. You will manage multi-cloud infrastructure that launches millions of VMs per day and processes exabytes of data every day. You will be reporting to the Director of Engineering.

The impact you will have:

• Delivery:
• Lead a team of accomplished software engineers to build the next-generation multi-tenant, fault-tolerant, and cost-efficient cloud native Serverless Compute Platform
• Work with the engineering teams to define how the product ecosystem works with the compute platform to achieve team goals. Partnering with other engineering and product leaders on planning, prioritization and staffing
• Product and Technology:
• Define the product and engineering roadmap for the team. Identify a clear strategy for the technical architecture and the interface with customers
• Manage and operate a available, fault-tolerant, and cost-efficient service in the cloud, and raising the bar on SLOs
• Hiring and Organizational:
• Grow the team by hiring world class engineering talent and upleveling leaders on the team by providing coaching, and growth opportunities
• Evolve the organizational structure to support long-term projects and building teams

What we look for:

• 5+ years experience working in, large-scale serverless platforms, large-scale online services, or large-scale distributed systems
• Experience building available cloud services. Experience defining, meeting, and raising the SLOs for available systems
• Build teams in a complex technical domain
• Attract and hire engineers who meet the Databricks hiring standards, and hold a high bar
• Understand what the different product teams and customers needs
• Identify a clear vision and strategy
• Guide a technical direction and sussing out poor designs to avoid challenges down the road
• Inspired by automation and driving down team operational load
• BS in Computer Science, Software (Masters or PhD preferred)

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.