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. At Databricks, we strive to provide comprehensive perks and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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. 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.
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 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. Canada Pay Range: $171,100 — $227,500 CAD You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives. You will build software that is not just high quality, but easy to operate. You will manage technical debt, including long‑term technical architecture decisions, and balance product roadmap. Great at creating efficient processes that increase velocity and quality. 5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve multiple product teams and customers. Have experience in scaling engineering teams from 5 to 20+. Team player that will work with other departments (PM, CS) and engineering teams. BS or higher in Computer Science, or a related field. Strong track record of attracting, hiring, and retaining top engineering talent.

📌 Manager, Engineering (Vancouver)
🏢 NEON
📍 Vancouver