Senior Software Frontend Engineer – Dashboards

## 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. ## Nice to Have - Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products. - Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows. - Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes. ## Benefits - Databricks is committed to fair and equitable compensation practices. The pay range 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. 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 other platforms.