Sr. Product Designer, Enterprise Platform

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

More about the team:

The Enterprise platform UX team is responsible for driving the user experience across critical enterprise concerns, specifically focusing on governance, security, and platform observability. This includes ensuring that platform admins have intuitive controls for managing access and compliance, maintaining a secure and trustworthy environment for their data and AI operations, and providing clear, actionable insights into platform health and usage.

The impact you will have:

• Help design best in class monitoring and governance experiences at scale.
• Design unique interactions that will help administrators understand vast amounts of telemetry data.
• Explore new ways in which Generative AI can enhance the platform experience and developer workflows.
• Develop a deep understanding of Databricks business objectives, the cloud and big data space, its users, and competition.
• Conduct user research to identify customer needs and pain points related to data science and platform usage.

Do you have experience in Visual communication design?, Do you have a Bachelor’s degree?, * 5+ years of product design work experience.

• A bachelor’s degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience in data visualization, analytics dashboards, or designing interfaces for complex data monitoring is a plus.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

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.

Zone 1 Pay Range $144,800-$199,100 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.