Jobs at Databricks

Positions 0

What this company pays

Median
$193,500
Range
$61,500 – $307,000
Roles disclosing pay
26 of 1000 (3%)

Median pay by role

Role Openings Median
Enterprise Account Executive - Retail & CPG 2 $283,600
Solutions Architect - Healthcare/Life Sciences Team (HLS) 2 $193,500

Databricks pioneered the Lakehouse Platform, unifying data warehousing and data lake capabilities to accelerate data and AI innovation. This unified approach empowers organizations to manage, process, and analyze vast datasets for machine learning and business intelligence, making Databricks a foundational technology for data-driven enterprises globally. Their commitment to open-source technologies like Apache Spark, Delta Lake, and MLflow positions them at the forefront of modern data architectures.

Databricks actively recruits across a spectrum of technical and GTM roles, including Software Engineers specializing in distributed systems and cloud infrastructure, Data Scientists developing advanced models, and Machine Learning Engineers building scalable AI solutions. Additionally, roles in Product Management, Solutions Architecture, and Sales are critical for expanding their platform's reach. Successful candidates typically demonstrate expertise in cloud environments, proficiency with big data technologies, and a commitment to solving complex data challenges.

Leveraging Job Transparency for your Databricks job search provides a distinct advantage. Each of the 2283 listings includes upfront salary information, enabling you to evaluate compensation expectations directly. Beyond salary, our platform offers aggregated sentiment data from current and former employees, giving you insights into company culture, work-life balance, and career growth trajectories before you even apply. This comprehensive view supports informed career decisions, ensuring alignment with your professional goals.

No open positions at Databricks right now.

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Frequently Asked Questions

What is it like to work at Databricks?
Working at Databricks often involves a dynamic, high-growth environment focused on cutting-edge data and AI technologies. Employees report a culture of technical excellence, collaboration, and a strong drive for impact. While expectations are high, there are significant opportunities for professional development and contributing to products used by major enterprises. The company supports a flexible work model, emphasizing results and innovation across its global teams.
What types of positions are available at Databricks?
Databricks hires for a wide array of technical and business roles to support its rapidly expanding Lakehouse Platform. Key technical positions include <em>Software Engineers</em> specializing in distributed systems, cloud infrastructure, and user interfaces; <em>Data Scientists</em> and <em>Machine Learning Engineers</em> focusing on AI/ML model development and deployment; and <em>Solutions Architects</em> guiding customer implementations. Non-technical roles span Product Management, Sales, Marketing, and Operations, all crucial for scaling the company's global presence.
How can I stand out as a Databricks applicant?
To stand out as a Databricks applicant, demonstrate deep technical proficiency in areas relevant to their platform, such as distributed systems, cloud computing (AWS, Azure, GCP), and big data technologies like Apache Spark, Delta Lake, or MLflow. Showcase practical project experience where you’ve applied these skills to solve complex problems. Highlighting contributions to open-source projects or relevant publications can also be beneficial. Tailor your application to the specific role, emphasizing how your skills align with Databricks’ mission and technological stack.

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