Staff Product Designer, Data Engineering

Databricks Inc.; San Francisco (CA); On-site; USD 151,000 - 232,000; Full time

Job summary

Databricks is seeking a Staff Product Designer to enhance their data ingestion and transformation tools. You will lead innovative design efforts that simplify complex workflows for users, collaborate across teams, and mentor junior designers. This role offers a unique chance to shape products used by thousands of enterprises.

Benefits

Comprehensive benefits

Annual performance bonus eligibility

Equity opportunities

Qualifications

• 8+ years of product design work experience.
• Ability to lead large and complex design projects.
• Portfolio demonstrating end-to-end design process.

Responsibilities

• Lead design for core product from user ingestion to transformation.
• Collaborate with teams to ensure cohesive product experience.
• Conduct user research to improve data ingestion and transformation.

Skills

Visual Design

Systems Thinking

User Research

Collaboration

Education

Bachelor's or Master’s degree in design, computer science, human-computer interaction, or related field

Job description

RDQ326R234

Mission

At Databricks, we design tools that make complex data workflows intuitive and powerful. On the data engineering team, our mission is to simplify how data is ingested, transformed, and prepared so that teams across an organization can turn raw data into impact. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world.

We're hiring a Staff Product Designer to lead the evolution of our data ingestion and transformation experience. You will shape visual, low-code, and AI-powered workflows that help users bring data into the Lakehouse and prepare it for downstream use.

You will partner with cross-functional teams in SF and Seattle and collaborate with the Amsterdam team to ensure a cohesive, end-to-end experience across the data engineering journey.

The impact you will have

• Lead design for a core pillar of Databricks’ product suite, shaping how thousands of enterprises ingest and transform data daily.
• Define a new paradigm for building pipelines through visual, low-code, and AI-assisted workflows.
• 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.
• 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

• 8+ 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 low-code platforms, data tools, or visual builders is a strong plus
• You don’t need to code, but an understanding of React or SQL helps you reason about system constraints

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

$151,100—$231,700 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 onTwitter,LinkedInandFacebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks.

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.

Compliance

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.