Senior Software Engineer - Database Engine Internals

Databricks; California (MO); On-site; USD 166,000 - 225,000; Full time

Job summary

Databricks seeks an experienced engineer to design next-gen query engines and storage systems, advancing Spark-based workloads from ETL to ML/AI. You’ll tackle compilation, distribution, and vectorized execution while ensuring data security and efficient resource management.

Ideal candidates bring 5+ years in related systems, a passion for performance, and a track record of delivering multi-year vision with incremental milestones, driving customer value and impact.

Qualifications

• Passion for database/storage/distributed systems or performance optimization.
• 5+ years of experience in a related system (preferred).
• Experience working toward a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.

Responsibilities

• 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.

Skills

Database systems

Distributed systems

Query optimization

Performance tuning

Big data tooling

Education

PhD in databases or distributed systems

Job 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.

Local Pay Range

$166,000—$225,000 USD

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.