About the company
At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform, empowering customers to turn massive data into deep, actionable insights.
Responsibilities
- Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling
- Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences
- Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale
- Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability
- Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases
- Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences
Requirements
- 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems
- Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks
- Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces
- Experience designing scalable systems and abstractions that support interactive, high-performance product experiences
- Proven ability to collaborate cross-functionally and deliver impactful user-facing features
- Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus
- Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus
- Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred