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Develop next-gen distributed data storage and processing systems, enhance query performance, and support diverse workloads from ETL to data science.

Assist the research team in developing and evaluating domain adaptation methods for LLMs and AI systems focused on enterprise domains.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

As a Senior Software Engineer at Databricks, you will build scalable systems, architect multi-cloud solutions, and enhance software development workflows for the infrastructure platform.

Design and implement next-generation database engine systems focusing on query compilation, distributed execution, optimization, and storage management.

Lead and scale a Data & AI Support Engineering team to resolve complex Spark, streaming, Lakehouse, and Databricks issues. Build AI-enabled support workflows, automations, and runbooks; partner with Engineering/Product to operationalize diagnostics and observability; manage KPIs, escalations, hiring, training, and on-call incident response while acting as a technical escalation leader for enterprise customers.

Lead security engineering projects at Databricks, focusing on data protection strategies and systems management. Attract talent and represent security initiatives across the organization.

The Lakebase Sales Specialist drives revenue by promoting Databricks Lakebase, collaborating with various account teams and managing complex sales cycles to modernize operational data foundations.

Lead design and implementation of systems for customer support using AI and ML, ensuring reliability and driving engineering excellence.

Lead a team of software engineers in developing a cloud-native, low-latency data warehousing system while managing service operations and team growth.