Senior Software Frontend Engineer – Dashboards
Databricks2 months ago
Vancouver, CanadaSenior
Responsibilities
- Design and build high-performance experiences for creating and editing dashboards and authoring the data behind them.
- Develop frontend workflows for SQL datasets, custom calculations, semantic modeling, data exploration, and analytical use cases.
- Partner with design and product teams to create intuitive, accessible, responsive, and efficient data-heavy interfaces.
- Own frontend development for core dashboard workflows, emphasizing usability, performance, accessibility, and reliability.
- Shape architecture, abstractions, and platform foundations for scalable dashboarding and analytical experiences.
- Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts for interactive dashboards.
Requirements
- 5+ years of professional software engineering experience with strong frontend and backend systems experience.
- Expertise in HTML, CSS, JavaScript or TypeScript, and React or similar frontend frameworks.
- Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.
- Experience designing scalable systems and abstractions for interactive, high-performance product experiences.
- Demonstrated ability to collaborate cross-functionally and deliver impactful user-facing features.
- Experience with dashboards, analytics, data exploration, authoring tools, or business intelligence products is preferred.
- Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is preferred.
- Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.
Benefits
- Comprehensive employee benefits and perks are offered, with region-specific details available.
- The total compensation package may include annual performance bonus and equity.
Tech Stack
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.