Role at a glance
- Salary
- $192K – $260K/yr
- Location
- San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of experience with HTML, CSS, and JavaScript
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Role Summary
The Senior Frontend Engineer will work with engineering and product management to make data insights simple through robust, scalable, and user-focused products. The role supports Databricks’ data and AI infrastructure platform across workflows for data loading, visualization, modeling, collaboration, and production deployment.
What You'll Do
- Create workflows to configure and manage large-scale compute clusters, networks, and data sources.
- Create, deploy, test, and upgrade complex data pipelines with data graph visualization features.
- Develop onboarding and organization-management experiences for data-driven users.
- Build SQL-centric data exploration and dashboarding experiences.
- Create interactive environments for collaborative data projects with an easy path to production.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of experience with HTML, CSS, and JavaScript; experience leading large multi-quarter efforts with demonstrated customer or business impact; passion for user experience and design and understanding of front-end architecture; experience with modern JavaScript frameworks such as React, Angular, VueJs, or Ember; knowledge of current trends and best practices in front-end architecture, including performance, accessibility, security, and usability; experience building large-scale products
Required
- Familiarity with server-side web technologies
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-925
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Senior Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.
Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.
- Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.
- Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
- Seamless onboarding and management for all members of an organization to become data-driven.
- Provide a great SQL-centric data exploration and dashboarding experience on Databricks
- An interactive environment for collaborative data projects at massive scale with an easy path to production.
What we look for:
- 5+ years of experience with HTML, CSS, and JavaScript
- Experience leading large multi-quarter efforts with a demonstrated customer or business impact
- Passion for user experience and design and an understanding of front-end architecture
- Comfortable working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
- Familiarity with server-side web technologies is a plus
- Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability
- Experience building large-scale products
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance
- Mental wellness resources
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) 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. For more information regarding which range your location is in visit our page here.
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.