Senior Software Engineer - Database Engine Internals

Cacheflow; Mountain View (CA); On-site; USD 166,000 - 225,000; Full time

Job summary

A leading data platform company in Mountain View, California, is seeking an experienced professional to join their team. The role involves designing and implementing next-gen systems that improve the data lifecycle, with a focus on query optimization and distributed systems. Candidates should have a passion for database systems and at least 5 years of experience in a related field. The pay range for this position is $166,000 — $225,000 USD, alongside comprehensive benefits.

Qualifications

• 5+ years of experience working in a related system preferred.
• Passion for database and distributed systems.
• Experience with delivering customer value.

Responsibilities

• Design and implement next-gen systems for data lifecycle.
• Work on query compilation and optimization.
• Enhance distributed query execution and scheduling.

Skills

Database systems

Storage systems

Distributed systems

Performance optimization

Education

PhD in databases or distributed systems

Job description

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, 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 Apache 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

Pay range for this role is $166,000 — $225,000 USD.

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, please visit https://www.mybenefitsnow.com/databricks.

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.