Sr. Product Designer, Data Engineering

Databricks • Seattle, WA

3h

About The Position

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.

Requirements

• 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)

Nice To Haves

• Experience with React, SQL, CSS, and/or Python is a nice-to-have

Responsibilities

• 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees