About the job
At Databricks, we are dedicated to revolutionizing the world of data and AI. Our goal is to make data-driven insights accessible to everyone, from pioneering the next mode of transportation to facilitating groundbreaking medical advancements. We achieve this by developing and maintaining the premier data and AI infrastructure platform, empowering our clients to leverage deep data insights to enhance their operations. Founded by engineers with a strong customer focus, we eagerly embrace every chance to tackle technical challenges, whether it involves crafting next-generation UI/UX for data interactions or optimizing our services and infrastructure across millions of virtual machines. And we are just getting started.
As a Senior Fullstack Software Engineer, you will collaborate closely with your team and product management to streamline data insights for users. We seek engineers who are passionate about customer satisfaction and can oversee the entire product scope, extending their vision beyond mere technical execution. You will play a crucial role in establishing a solid foundation for the development of robust, scalable, and enjoyable products.
Our Vancouver location is set to become the latest research and development hub for Databricks, enhancing our footprint in the Pacific Northwest. We are actively recruiting top-tier engineers to join us on our mission to democratize data and AI.
We envision the Vancouver site as a critical catalyst for product innovation at Databricks, initially focusing on several strategic areas and multiple open roles across the following teams:
- Log Analytics - Our customers increasingly utilize Databricks for real-time analysis of petabyte-scale logs, presenting new challenges throughout the data processing pipeline, including ingestion, indexing, processing, and user experience.
- AI/BI - AI/BI is transforming Business Intelligence for the AI era. Launched last summer, this product has rapidly gained traction, with 98.7% of our data warehousing customers already utilizing AI/BI. The solutions we are developing, from intricate dashboards to advanced visualizations and interactive data exploration, present exciting technical challenges across the full stack.
- Unity Catalog Business Semantics - Understanding context is vital for AI. For enterprise data, this context must be governed effectively, which is the purpose of Unity Catalog Business Semantics. Recently launched at our Data + AI Summit, our first semantics modeling capability, Unity Catalog Metrics, is just the beginning. Engineers on this team work at the intersection of large-scale distributed systems, data modeling, governance, and AI enablement.
- Databricks Apps - Databricks Apps is one of the fastest-growing areas in our portfolio, focusing on creating seamless applications that enhance user engagement and data interaction.

