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Senior Software Engineer – Data Visualization

Databricks

Senior Software Engineer – Data Visualization

Databricks

Vancouver, Canada

·

On-site

·

Full-time

·

1mo ago

Compensation

$145,000 - $191,000

Benefits & Perks

Flexible work arrangements

Parental leave

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

Professional development budget

Generous paid time off and holidays

Flexible Hours

Parental Leave

Healthcare

Equity

Learning

Required Skills

React

JavaScript

Python

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 beautiful.

As a Senior Frontend Engineer focused on Data Visualization, you’ll craft interactive and scalable visual experiences that help users explore, analyze, and share insights from data at a massive scale. You’ll work closely with designers, product managers, and backend engineers to build the next generation of visualization frameworks, dashboards, and analytical interfaces within Databricks.

What You’ll Do

  • Design and build intuitive, performant interfaces for visual data exploration — from rich dashboards and charts to text to SQL products.

  • Develop reusable visualization components and frameworks using technologies like React,TypeScript,Vega/Vega-Lite,D3.js, or ECharts.

  • Collaborate with design and product teams to translate complex analytical concepts into delightful visual experiences.

  • Drive innovation in how Databricks users interact with data — enabling visualization of billions of rows seamlessly and responsively.

  • Own the end-to-end user experience of visualization workflows, including performance, accessibility, and responsiveness.

  • Contribute to UI architecture and design systems that support a wide range of visualization and dashboarding use cases.

  • Partner with backend teams to define APIs and data contracts optimized for real-time, interactive visual analytics.

What We Look For

  • 5+ years of professional experience in frontend development with HTML, CSS, JavaScript/TypeScript.

  • Expertise in React (or similar modern frameworks such as Vue or Angular).

  • Strong background in data visualization libraries or frameworks (e.g., D3.js, Vega/Vega-Lite, ECharts, Plotly).

  • Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.

  • Experience in architecting and shipping large-scale, high-performance visualization systems.

  • Proven ability to collaborate cross-functionally and deliver impactful user-facing features.

  • Passion for transforming complex data and analytics into intuitive, visual stories.

  • Familiarity with server-side or API technologies (Node.js, Python, or Java) is a plus.

  • Experience with cloud technologies (AWS, Azure, GCP, or Kubernetes) 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:

$145,000—$191,000 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, please visit https://www.mybenefitsnow.com/databricks.

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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge