Software Engineer (SDE 2) - Full Stack, Lakeflow

P-1548

At Databricks, we are passionate about enabling our customers 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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is solving this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources — including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

The experience through which customers configure, monitor, and manage their ingestion pipelines is as important as the pipelines themselves. As a Full Stack Engineer on the Lakeflow Connect team, you will work closely with product management, design, and backend engineers to build interfaces that make complex data ingestion feel simple and intuitive — and drive adoption of Connect across thousands of organizations.

• Design and ship UI features for Lakeflow Connect that enable customers to set up, configure, and monitor connectors with a point-and-click experience.
• Build reusable UI components and patterns that behave consistently across Databricks surfaces, contributing to a write-once, run-anywhere model.
• Collaborate with backend and platform teams to embed Connect experiences into other Databricks surfaces — Dashboards, Notebooks, SQL, and AI.
• Contribute to the full-stack implementation, from API integration through to polished UI delivery.
• Help instrument product usage to identify UX bottlenecks and iterate based on real customer behavior.
• Write clean, well-tested, maintainable code and participate actively in design and code reviews.
• Learn from senior engineers and contribute to raising the bar for frontend quality, accessibility, and performance across the team.

• BS/MS in Computer Science or a related field.
• 2+ years of experience with HTML, CSS, and JavaScript/TypeScript (including internships or significant academic projects).
• Hands-on experience with modern JavaScript frameworks, with a strong preference for React.
• Passion for user experience and design, and an eagerness to go beyond technical implementation to understand what makes a product truly delightful.
• Awareness of front-end architecture best practices, including performance, accessibility, security, and usability.
• Comfortable working towards a multi-year vision with incremental, high-quality deliverables.
• Motivated by delivering customer value — you think about the person on the other side of the screen.
• Familiarity with server-side web technologies (e.g., Java, Python, Scala, Node.js) is a plus.
• Exposure to cloud environments (AWS, Azure, GCP) or distributed systems is a plus.

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 click here.

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.