Posted 16 months ago
Staff Software Engineer - Backend
@ Databricks
Vancouver, British Columbia
Overview
Databricks is hiring a Staff Software Engineer for backend work on its Data and AI platform. The role leads the design of complex distributed systems, sets technical direction, and mentors senior engineers. The posting states a Canada pay range of $173,400 to $238,350 CAD and requires 8+ years of software engineering experience.
Responsibilities:
- Lead design and implementation of complex distributed systems
- Define technical strategy and architecture for the domain
- Drive cross-team technical initiatives
- Own system reliability, performance and security at scale
- Mentor senior engineers and raise the technical bar
Requirements summary:
- 8+ years of software engineering experience
- Large-scale distributed systems experience in production
- Strong programming in Java, Scala, C++ or Go
- Experience with SaaS or service-oriented architectures
- Cloud experience with AWS, Azure, GCP, Docker or Kubernetes
- Experience with software security and sensitive data
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2025-07-25
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-11-03
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Experience | 8+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (preferred), Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Computer Science, Engineering |
| Perks mentioned | Performance bonus, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Databricks
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with 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. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- LinkedIn followers
- 975,210
- People associated on LinkedIn
- 11,901
- Reported office locations
- 160 Spear Street, 13th Floor, San Francisco, CA 94105, US
- Fora 22 Berners Street, London, England W1T 3LP, GB
- Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL
- 11 W 42nd St, 30th Floor, New York, NY 10036, US
- 120 Adelaide St W, Toronto, Ontario M5H, CA
- 109 North Bridge Road, Singapore, 179097, SG
- 2033 6th Ave, Suite 600, Seattle, WA 98121, US
- 100 W Evelyn Ave, Suite 210, Mountain View, California 94041, US
- 1660 International Drive, Suite 600, McLean, VA 22102, US
- 7300 Lone Star Dr, Plano, Texas 75024, US
- 500 108th Ave NE, Suite 1100, Bellevue, Washington 98004, US
- 1 Lincoln Street, Office 26-115, Boston, MA 02111, US
- 2120 University Ave, Suite 722, Berkeley, California 94704, US
- Techspace Köpenicker, Straße 40-41, Berlin, Germany 10179, DE
- Herzogspitalstraße 24, Munich, Bavaria 80331, DE
- 35-37, Rue Beaubourg, Paris, Île-de-France 75003, FR
- 1 Chome-4-5 Roppongi, Minato City, Tokyo 106-0032, JP
- 66 King Street, Sydney, NSW 2000, AU
- 222 Exhibition St, Melbourne, Victoria 3000, AU
- No. 78/9, Outer Ring Rd, Bengaluru, Karnataka 560103, IN
- Business categories
- Data Storage
- Information Technology
- Data Integration
- Artificial Intelligence
- Software
- Data Management
- Venture Capital
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Databricks
- Specialties
- Apache Spark
- Apache Spark Training
- Cloud Computing
- Big Data
- Data Science
- Delta Lake
- Data Lakehouse
- MLflow
- Machine Learning
- Data Engineering
- Data Warehousing
- Data Streaming
- Open Source
- Generative AI
- Artificial Intelligence
- Data Intelligence
- Data Management
- Data Goverance
- Generative AI
- and AI/ML Ops
- Profile identifies a recruitment agency
- No
- Reported total investment
- 27,246,939,324
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 5,001-10,000 employees |
| Headquarters | San Francisco, CA |
| Organization type | Privately Held |
| Specialties | Apache SparkApache Spark TrainingCloud ComputingBig DataData ScienceDelta LakeData LakehouseMLflowMachine LearningData Engineering |
| Open jobs on Jobsy | 28 |
| View page |
P-1441
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.
The Impact You Will Have
- Lead the design and implementation of complex, high-impact distributed systems that span multiple services or teams
- Define technical strategy and architectural direction for your domain, working toward multi-year vision with incremental deliverables
- Drive cross-team technical initiatives and influence engineering roadmaps across the organization
- Own critical system reliability, performance, and security at scale, ensuring high availability and operational excellence
- Mentor senior engineers and raise the technical bar through code reviews, design feedback, and engineering best practices
What We Look For
- 8+ years of software engineering experience
- Experience architecting, developing, deploying, and operating large-scale distributed systems in production environments
- Strong programming skills in languages including Java, Scala, C++, or Go
- Experience working on SaaS platforms or with service-oriented architectures
- Experience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes
- Experience with software security and systems that handle sensitive data
- Ability to influence technical direction through strong technical judgment and clear communication with both technical and non-technical stakeholders
- B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience
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
$173,400—$238,350 CAD
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.
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