Senior Software Engineer - Database Engine Internals
Databricks
$166,000 - $225,000 / year
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Description
P-97
Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.
A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark™ to support diverse workloads ranging from ETL to data science.
As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:
- Query compilation and optimization
- Distributed query execution and scheduling
- Vectorized execution engine
- Data security
- Resource management
- Transaction coordination
- Efficient storage structures (encodings, indexes)
- Automatic physical data optimization
What we look for:
- A passion for database systems, storage systems, distributed systems, language design, or performance optimization
- Experience working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value and impact
- 5+ years of experience working in a related system (preferred)
- Optional: PhD in databases or distributed systems
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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
About this role
Databricks is building the next generation of query engines and storage systems to power its Lakehouse platform, and this role puts you at the center of that effort. You'd work on core database internals—query compilation and optimization, distributed execution, vectorized processing, storage structures, transaction coordination, and resource management—designing systems that need to outperform specialized data warehouses while maintaining the flexibility of general-purpose platforms. The work spans multiple technical domains and requires thinking in terms of multi-year architectural vision alongside near-term deliverables.
The role expects someone with at least five years of hands-on experience building database, storage, distributed, or performance-critical systems. You should be drawn to solving hard technical problems in these areas and motivated by the downstream impact on customers running everything from ETL pipelines to machine learning workloads. A PhD in databases or distributed systems is valued but not required. This is an in-office position in San Francisco, with compensation between $166,000 and $225,000 plus performance bonus and equity eligibility.
How this employer is doing
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In the news
Databricks IPO Date: Timeline, Valuation and Investment Options, SmartAsset.com
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Pay for this role
$166,000 to $225,000 per year
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