P-187

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, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

As a software engineer in the Database Engine Org, you will join as a key member to contribute to Storage optimization products like Liquid Clustering and Predictive Optimization. In addition, you will have opportunities to design and implement in many areas that leapfrog existing systems:

Query compilation and optimization
Distributed query execution and scheduling
Vectorized engine execution
Resource Management
Transaction coordination
Efficient storage structures (encoding, indexes)
Automatic physical data optimization

You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed).

The responsibilities you will have:

Drive requirements clarity and design decisions for ambiguous problems
Produce technical design documents and project plans
Develop new features
Mentor more junior engineers
Test and rollout to production, monitoring.

What we look for:

PhD in databases or systems
A passion for database systems, storage systems, distributed systems, language design, and/or performance optimization
Motivated by delivering customer value and impact

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.

Local Pay Range

$150,000—$190,000 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 All jobs at Databricks →