Sr. Product Designer, Data Engineering

Databricks

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San Francisco, California First seen 3 weeks ago Last seen 3 hours, 54 minutes ago Greenhouse

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Job Description

AI Summary

• Design end-to-end user experiences for Lakeflow Connect, an enterprise data ingestion platform used by 2,000+ customers, managing discovery, configuration, monitoring, and troubleshooting of ingestion pipelines. • Requires 5+ years of product design experience, a degree in Design/HCI or equivalent, and a strong portfolio demonstrating design process from inception to production. • Partner cross-functionally across SF and Seattle offices to create intuitive interfaces for both data engineers and business analysts, incorporating AI-native features through Databricks Assistant. • Must have proven experience designing enterprise software and complex systems with strong visual craft, interaction design, and data-driven UX research skills; prior Big Data product experience is a plus. • Technical knowledge of React, SQL, CSS, and/or Python is preferred; competitive compensation with full salary range utilized based on qualifications and location.

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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.

Lakeflow Connect solves a persistent data engineering problem: moving data from enterprise systems (Salesforce, Workday, SQL Server, and more) into Databricks. Over 2,000 customers already use our point-and-click ingestion experience, and we're hiring a Senior Product Designer to take it further.

You'll own the end-to-end design of how users discover, configure, monitor, and troubleshoot their ingestion pipelines, shaping experiences for both data engineers and business analysts. You'll partner with cross-functional teams in SF and Seattle to ensure a cohesive experience across the data engineering journey.

The impact you will have

Design the front door to the Lakehouse. Your work will shape the first impressions and ongoing trust for thousands of organizations using Lakeflow Connect for enterprise data ingestion.
Create experiences that serve both data engineers needing granular control and analysts wanting ready-to-use data
Own the end-to-end ingestion experience across connector setup, credentials, scheduling, monitoring, error recovery, and schema evolution.
Define AI-native data ingestion by integrating Databricks Assistant into pipeline creation and troubleshooting.
Create scalable patterns for a diverse and growing range of connectors

What we look for

5+ years of product design work experience
A bachelor's or higher degree in Design, HCI, or a related field, or equivalent practical experience.
A strong portfolio of past projects demonstrating a solid design process, from inception to production
Experience working collaboratively in a multidisciplinary team, communicating effectively with both design and non-design stakeholders.
Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process
Experience designing enterprise software, services, or other complex systems (Products in the Big Data space are a nice-to-have)
Experience with React, SQL, CSS, and/or Python is a nice-to-have

Pay Range Transparency

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. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$144,800—$199,100 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 Twitter, LinkedIn and Facebook.

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 visit https://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.

Skills

go sql react css rust python

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Job Information

Company:
Databricks
Location:
San Francisco, California
Job Type:
Full-Time
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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