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 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 optimizationDistributed query execution and schedulingData securityResource managementTransaction coordinationAutomatic physical data optimizationWhat we look for: Experience working towards a multi-year vision with incremental deliverablesMotivated by delivering customer value and impact5+ years of experience working in a related system (preferred)Benefits: Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementEmployee Assistance Program (EAP)Mental wellness resourcesLocal Pay Range: $166,000 — $225,000 USD
About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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.
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.
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