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Sr.Staff Product Designer, Data Engineering

San Francisco, California



At Databricks, our mission as designers is to make data science simpler and more accessible so that more people can contribute to solving the world’s toughest problems. Product Designers at Databricks balance the creativity of a craftsperson with the analytical curiosity of a data scientist. We believe in the traditional and timeless value of great graphic design - while at the same time, we have a restless desire to get to the truth and make the best decisions possible using data. We design simple and collaborative products that have the power to delight a discriminating and highly technical audience. 

In this role, you’ll play a key part in shaping the future of Databricks design. We’re looking for an experienced designer to lead the creation of a new data ingestion and transformation experience. We're searching for an experienced Product Designer with the ability to define strategic vision and collaborate with interdisciplinary teams to bring this vision to life.

Ingestion and transformation play a critical role in the ETL process. Your work will streamline how Databricks customers load data into the Lakehouse and simplify how they clean and structure this data for later use.

You'll be working closely with the ingestion and data transformation teams based in SF/Seattle, while also collaborating with the Jobs team in Amsterdam. 

The impact you will have

  • Drive product design for one of the most critical business areas at Databricks
  • Design and launch a new experience for data ingestion and transformation
  • Collaborate closely with product management, engineering, and leadership to shape the future of our platform's ETL experience.
  • Design intuitive user experiences that align with engineering best practices, simplifying complex workflows for our users.
  • Explore new ways in which Generative AI can enhance the data engineering process
  • Develop a deep understanding of Databricks business objectives, the ETL space, its users, and competition
  • Conduct user research to identify customer needs and pain points related to data ingestion and transformation
  • Mentor junior designers, fostering their growth and development within our team.

What we look for

  • 10+ years of product design work experience
  • A bachelor's or master’s degree in design, computer science, human-computer interaction, or related field
  • 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 demonstrating your end-to-end design process, from inception to production
  • Experience designing enterprise software, services, or other complex systems. (products in the Big Data space are a nice-to-have)
  • Coding React, SQL, CSS, and/or Python is a nice-to-have


  • Medical, Dental, and Vision
  • 401(k) Plan
  • FSA, HSA and Commuter Benefit Plans
  • Equity Awards
  • Flexible Time Off
  • Paid Parental Leave
  • Family Planning
  • Fitness Reimbursement
  • Annual Career Development Fund
  • Home Office/Work Headphones Reimbursement
  • Employee Assistance Program (EAP)
  • Business Travel Accident Insurance
  • Mental Wellness Resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range
$148,900$263,400 USD

About Databricks

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 TwitterLinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.


If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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