Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing exponentially.
The Lakeflow team is looking for recent PhD graduates. Lakeflow team includes products like Apache Spark™ Structured Streaming, Delta Live Tables (DLT), and Materialized Views. Apache Spark™ Structured Streaming is one the world’s most popular streaming engines. DLT makes it easy to build and manage reliable batch and streaming data pipelines that deliver high-quality data on the Databricks Lakehouse Platform. DLT helps data engineering teams simplify ETL (extract-transform-load) development and management with declarative pipeline development, automatic data testing, and deep visibility for monitoring and recovery. DLT optimizes pipeline execution by logical optimization through query transformations, and physical optimization such as instance type selection and vertical/horizontal autoscaling.
Moreover, as part of DLT, we have a new catalyst optimization layer, Eenzyme, designed specifically to speed up the ETL process and make declarative ETL computation possible by incrementally computing and materializing the intermediate results. Enzyme can create and keep up-to-date a materialization of the results of a given query stored in a Delta table. Enzyme does this by using a cost model to choose between a variety of techniques that borrow from traditional literature on the maintenance of materialized views, delta-to-delta streaming, and manual ETL patterns commonly used by our customers.
As a part of the LakeflowDLT team, there are opportunities to design and implement in many areas that leapfrog existing systems:
What We Look For:
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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
$142,200—$204,600 USD
