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.
Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable.
As a Senior Frontend Engineer focused on Dashboards, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks.
What You’ll Do- 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.
- 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.
Pay Range Transparency
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 anticpates 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 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.
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 Required
- 5+ years of professional software engineering experience
- Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React
- Deep understanding of UX principles, accessibility, and responsive design
- Experience designing scalable systems for high-performance product experiences
- Proven ability to collaborate cross-functionally
- Experience building dashboards or analytics tools
- Familiarity with SQL authoring and data workflows
- Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
