{"schemaVersion":"jobsearcher.job.v1","id":"29c9f2701b2ac98a4cfb7ee2","url":"https://jobsearcher.com/jobs/29c9f2701b2ac98a4cfb7ee2","canonicalUrl":"https://jobsearcher.com/jobs/29c9f2701b2ac98a4cfb7ee2","title":"Senior Software Engineer - Database Engine Internals","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 SparkTM 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 optimizationDistributed query execution and schedulingVectorized execution engineData securityResource managementTransaction coordinationEfficient storage structures (encodings, indexes)Automatic physical data optimizationWhat we look for?A passion for database systems, storage systems, distributed systems, language design, or performance optimizationExperience working towards a multi‐year vision with incremental deliverablesMotivated by delivering customer value and impact5+ years of experience working in a related system (preferred)Optional: PhD in databases or distributed systemsPay Range TransparencyPay range for this role is $166,000 — $225,000 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.Our Commitment to Diversity and InclusionAt 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.ComplianceIf 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. #J-18808-Ljbffr","company":"Cacheflow","rawCompany":"cacheflow","city":"Mountain View","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-08-03T23:54:53.312Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer - Database Engine Internals","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 SparkTM 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 optimizationDistributed query execution and schedulingVectorized execution engineData securityResource managementTransaction coordinationEfficient storage structures (encodings, indexes)Automatic physical data optimizationWhat we look for?A passion for database systems, storage systems, distributed systems, language design, or performance optimizationExperience working towards a multi‐year vision with incremental deliverablesMotivated by delivering customer value and impact5+ years of experience working in a related system (preferred)Optional: PhD in databases or distributed systemsPay Range TransparencyPay range for this role is $166,000 — $225,000 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.Our Commitment to Diversity and InclusionAt 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. 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