Strong passion for database, storage, or distributed systems
Expertise in performance optimization and language design
Demonstrated ability to deliver customer value
Deep understanding of query engines and data security
Responsibilities
Design and implement advanced database systems
Optimize query compilation and execution processes
Develop distributed query execution and scheduling mechanisms
Enhance data security protocols across platforms
Manage resources effectively within the database engine
Coordinate transactions for reliability and performance
Implement efficient storage solutions and data optimization techniques
Benefits
Comprehensive healthcare coverage
Flexible working arrangements
Generous paid time off policy
Professional development resources
Diversity and inclusion initiatives
Full Job Description
P-1299
As a part of the Database Engine team, there are opportunities to design and implement in many areas that leapfrog existing state-of-the-art systems:
Query compilation & optimization
Distributed query execution and scheduling
Vectorized engine execution
Data security
Resource Management
Transaction coordination
Efficient storage structures (encoding, indexes)
Automatic physical data optimization
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
$140,000-$180,000 USD
BenefitsAt 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.
About Databricks
Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
