Databricks is on a mission to simplify and democratize data and AI — 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 solve 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.
Vancouver will be the newest R&D center for Databricks, expanding our presence
in the Pacific Northwest. We are actively hiring world-class engineers to join
us on our mission to democratize data + AI.
We envision the Vancouver site becoming a key driver of product innovation at
Databricks. To start, we’re bringing a few strategic areas to the Vancouver site
and we have several open roles across the teams below, including:
- Log Analytics - Our customers increasingly use Databricks to analyze
petabyte-scale logs in real time. This creates new challenges across the
entire data processing pipeline, including ingestion, indexing, processing,
and the user experience itself.
- AI/BI - AI/BI [https://www.databricks.com/product/business-intelligence] is
redefining Business Intelligence for the AI age. We launched this product
last summer and have already seen tremendous adoption (98.7% of our data
warehousing customers are already using AI/BI!). From rich dashboarding and
advanced visualizations to powerful talk-to-your-data solutions, the products
we are building involve exciting technical challenges across the entire
stack.
- Unity Catalog Business Semantics - Context is everything for AI. For
enterprise data, that context needs to be governed and managed, which is what
Unity Catalog Business Semantics offers. We recently launched our first
Semantics modelling capability, Unity Catalog Metrics, this past Data + AI
Summit but we have a lot more in store. 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 products at
Databricks, used by more than 2,500 customers who have created more than
20,000 apps — and it was only GA’ed this past June. The Apps team is one of
the few teams that are exposed to low-level platform components (k8s,
networking), owns fundamental tech (apps runtime and proxy), and is heavily
investing in app builder AI agents.
What we look for:
- BS (or higher) in Computer Science, related technical field or equivalent
practical experience.
- Comfortable working towards a multi-year vision with incremental
deliverables.
- Motivated by delivering customer value and impact.
- 10+ years of production level experience in either Java, Scala or C++.
- Strong foundation in algorithms and data structures and their real-world use
cases.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or
Kubernetes.
- Experience with security and systems that handle sensitive data.
- Good knowledge of SQL.
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
$170,000—$227,000 CAD
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
[https://twitter.com/databricks], LinkedIn
[https://www.linkedin.com/company/databricks] and Facebook
[https://www.facebook.com/databricksinc].
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, please visit https://www.mybenefitsnow.com/databricks
[https://www.mybenefitsnow.com/databricks].
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.
