Jobs at Databricks

Positions 10,585

Databricks stands at the forefront of data and AI innovation, known for pioneering the data lakehouse architecture. Founded by the creators of Apache Spark, the company provides a unified platform for data engineering, machine learning, and data warehousing. Their technology empowers enterprises to process vast datasets, build advanced AI models, and drive critical business insights across major cloud providers like AWS, Azure, and GCP. Databricks' solutions are pivotal for organizations seeking to leverage scalable analytics and artificial intelligence.

Databricks actively recruits for a diverse range of technical and non-technical roles, reflecting their rapid expansion and product development. Common positions include Software Engineers specializing in distributed systems, Data Scientists focused on model development and analytics, Machine Learning Engineers, and Solutions Architects who guide customers through complex implementations. Beyond core engineering, Databricks also seeks talent in Product Management, Sales, Marketing, and Customer Success, all contributing to delivering their cutting-edge data and AI platform to a global clientele.

Accessing Databricks job listings on Job Transparency provides a distinct advantage in your career search. Every opening on our platform features transparent salary information, eliminating guesswork and empowering you to negotiate confidently. Beyond compensation, you gain insights into company culture through aggregated sentiment data, helping you evaluate potential fit and make an informed decision about your next role at a leading data and AI company.

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Frequently Asked Questions

What is the work culture like at Databricks?
Working at Databricks involves a fast-paced, innovative environment driven by a mission to help customers leverage data and AI. The culture emphasizes collaboration, technical excellence, and continuous learning, with a strong focus on impactful projects. Employees often work with cutting-edge technologies like Apache Spark and Delta Lake, contributing to a platform that solves complex data challenges for global enterprises. Expect a dynamic setting where problem-solving and intellectual curiosity are highly valued.
What types of job positions are typically available at Databricks?
Databricks frequently hires across various domains, primarily in engineering, data science, and customer-facing roles. Key technical positions include Software Engineers (backend, frontend, distributed systems), Machine Learning Engineers, Data Scientists, and Solutions Architects. The company also recruits for roles in Product Management, Technical Program Management, Sales, Marketing, Finance, and Legal, supporting its global operations and product growth within the cloud data and AI ecosystem.
How can an applicant stand out when applying for a job at Databricks?
To stand out at Databricks, demonstrate a strong foundation in distributed systems, cloud computing (AWS, Azure, GCP), and experience with big data technologies like Apache Spark or Delta Lake. Highlight projects or roles where you've tackled complex data challenges or built scalable AI/ML solutions. Showcase a passion for learning, problem-solving, and a clear understanding of Databricks' mission and product offerings. Emphasize your ability to collaborate and contribute to a high-performing technical team.

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