Role at a glance
- Salary
- CA$146.2K – CA$201.1K/yr
- Location
- Canada - Vancouver
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of professional software engineering experience
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Role Summary
The Senior Frontend Engineer focused on Dashboards will build end-to-end experiences that help users create, explore, and share data insights within Databricks. The role works across frontend development with designers, product managers, backend engineers, and adjacent teams to improve dashboards, interactivity, and analytical workflows.
What You'll Do
- Design and build experiences for creating and editing dashboards and authoring SQL datasets, custom calculations, and semantic models
- Partner with design and product to translate complex analytical concepts into dashboard experiences
- Drive improvements to how users interact with data, supporting responsive exploration at scale
- Own frontend development for core dashboard workflows with a focus on usability, performance, accessibility, and reliability
- Shape architecture, abstractions, and platform foundations for dashboarding and analytical use cases
- Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of professional software engineering experience; strong experience building frontend and backend systems; expertise with HTML, CSS, JavaScript/TypeScript, and React or similar frameworks; understanding of UX principles, accessibility, and responsive design; experience designing scalable systems and abstractions; ability to collaborate cross-functionally and deliver user-facing features.
Required
- 5+ years of professional software engineering experience
- Strong experience building both frontend and backend systems
- HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks
- Understanding of UX principles, accessibility, and responsive design for data-heavy interfaces
- Experience designing scalable systems and abstractions for interactive, high-performance product experiences
- Ability to collaborate cross-functionally and deliver impactful user-facing features
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1443
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.
What We Look For
- 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.