Senior Software Frontend Engineer – Dashboards

Databricks

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Location: Vancouver, Canada
Job Type: full-time
Work Format: 🏢 Hybrid
Salary: $146,200—$201,100 CAD
Posted: July 26, 2026

Job Description

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.

Canada Pay Range$146,200—$201,100 CAD

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.

🎯 Who is this job for?

This role is suitable for a Senior frontend engineer with 5+ years of software engineering experience and strong expertise in HTML, CSS, JavaScript/TypeScript, React, and backend systems.

The candidate should understand UX, accessibility, responsive design, scalable architecture, performance optimization, cloud technologies, and cross-functional collaboration.

They should be familiar with building dashboards, analytics and data-exploration tools, SQL authoring, semantic modeling, custom calculations, interactive workflows, and reliable data-heavy interfaces.

💬 Potential Interview Questions

How would you architect a React dashboard editor that supports reusable widgets, custom calculations, and multiple authoring workflows?

I would separate the editor into composable, independently stateful modules backed by a normalized dashboard model. Shared abstractions for widgets, datasets, filters, and calculations would allow features to evolve without coupling presentation logic to persistence or query execution.

How would you optimize rendering performance for a dashboard containing many interactive charts and large datasets?

I would virtualize large lists, memoize expensive components and selectors, minimize unnecessary React re-renders, and defer noncritical work. I would also push aggregation and filtering toward the backend, use incremental loading, and measure performance with profiling and real-user metrics.

How would you design frontend state management for dashboard editing, undo/redo, autosave, and collaboration with backend APIs?

I would maintain a normalized client-side document model with explicit dirty, saving, and conflict states. Commands or immutable patches can support undo/redo, while debounced autosave and versioned API contracts provide reliable persistence and conflict detection.

What accessibility considerations are especially important for data-heavy dashboards?

Charts should provide accessible summaries or tabular alternatives, while all controls require keyboard navigation, visible focus states, semantic labels, and appropriate ARIA usage. I would also ensure sufficient color contrast, avoid color-only encoding, and test with automated tools and screen readers.

How would you implement responsive behavior for dashboards across desktop, tablet, and mobile layouts?

I would define a responsive layout model with breakpoint-aware sizing, ordering, and visibility rules rather than relying only on visual scaling. Components should adapt their interaction patterns and data density while preserving important insights and maintaining usable touch targets.

How would you safely support SQL authoring and custom calculations in a frontend application?

The frontend should provide syntax-aware editing, validation, autocomplete, and clear error feedback, but never treat client-side validation as a security boundary. Queries and expressions must be validated and authorized by backend services, with versioned contracts and explicit handling of execution states and failures.

How would you design API contracts for interactive dashboard filtering and cross-widget updates?

I would define typed contracts for dashboard metadata, datasets, filters, parameters, and query results, including stable identifiers and explicit null, loading, and error semantics. Filter changes should be represented as declarative state so the backend can efficiently batch, cache, or cancel dependent requests.

How would you prevent stale or out-of-order query results from corrupting the dashboard UI?

Each request should carry a sequence number, cancellation token, or query key, and the UI should apply results only if they match the latest active state. Aborted requests should be handled separately from genuine errors so users receive accurate feedback without unnecessary error messages.

How would you approach testing a complex dashboard authoring workflow?

I would combine unit tests for state transitions and calculation logic, component tests for accessibility and interaction behavior, and end-to-end tests covering creation, editing, filtering, saving, and failure recovery. Performance and visual regression tests would protect critical high-density dashboard experiences.

How would cloud technologies or Kubernetes influence the frontend architecture of a dashboard platform?

The frontend should assume distributed, independently deployed services and handle latency, retries, partial failures, authentication, and feature-flagged API versions gracefully. Observability through client metrics, tracing identifiers, and structured error reporting is essential for diagnosing issues across cloud-hosted services.

📋 Job Summary

Databricks is a leading data and AI company building intuitive tools that help organizations turn complex data into actionable insights. As a Senior Frontend Engineer, you’ll create scalable dashboard experiences, data-authoring workflows, interactive analytics, and accessible, high-performance user interfaces while partnering with design, product, and backend teams. The stack includes HTML, CSS, JavaScript/TypeScript, React, SQL, and cloud technologies such as AWS, Azure, GCP, or Kubernetes; the role is based in Vancouver, Canada, with remote status not specified. The salary range is $146,200–$201,100 CAD, with potential bonus, equity, and benefits—an excellent opportunity to shape the future of data exploration at global scale.