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As a Senior Full Stack Engineer, you will design and implement user experiences, data pipelines, and large-scale compute solutions while ensuring customer satisfaction and product scalability.

The Partner Engineer will manage the technical relationship between Databricks and Microsoft Azure, drive integration efforts, and ensure product alignment with Azure's roadmap.

The Principal Demand Generation Manager collaborates with various marketing teams to execute strategic demand generation plans, ensuring alignment with company goals and driving measurable growth through data insights.

As a Senior Staff Applied AI Engineer at Databricks, you will design and build retrieval systems, optimize search for both LLMs and humans, and lead technical direction and team growth.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

Design and implement next-gen database systems focused on performance optimization, query execution, and efficient data storage as part of a team at Databricks.

The role involves developing intuitive interfaces and solutions for generative AI applications while collaborating with cross-functional teams to drive product growth and strategy.

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

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

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