Engineering Manager - Platform
Company: Databricks Inc.
Location: Mountain View
Posted on: February 1, 2025
Job Description:
At Databricks, we are passionate about helping data teams 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 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.If you are looking
for an unparalleled opportunity to build the next generation big
data processing platform, and learn how to launch hundreds of
thousands of VMs a day at scale while running thousands of
Kubernetes clusters, you have come to the right place. The platform
team builds and manages the core systems powering Databricks,
allowing it to seamlessly scale and run across various geographic
regions/clouds, and making Databricks the go-to product for big
data processing in the cloud.As an Engineering Manager on the
Platform team at Databricks, you will lead your team to build a
highly available, scalable, and reliable platform that is essential
to the business. You will be responsible for the delivery of
products and features shipped by your team. You will work with
strong engineers and customers to help ensure that we continue to
build excellent products with new and improved features.We develop
and manage some of the largest scale software systems on the
planet. The teams are at the forefront of the Cloud revolution,
building highly scalable multi-cloud infrastructure and distributed
systems to launch millions of virtual machines a day, generating
terabytes of logs and processing exabytes of data every single day.
At our scale, we regularly observe cloud hardware, network, and
operating system faults, and our software must gracefully shield
our customers from any of the above.The impact you will have:
- Hire great engineers to build an outstanding team.
- Support engineers in their career development by providing
clear feedback and develop engineering leaders.
- Ensure high technical standards by instituting processes
(architecture reviews, testing) and culture (engineering
excellence).
- Work with engineering and product leadership to build a
long-term roadmap.
- Coordinate execution and collaborate across teams to unblock
cross-cutting projects.What we look for:
- Great at hiring and developing high caliber talent, especially
leadership.
- Great at devising efficient processes that increase velocity
and quality.
- Managed teams that build and operate high volume distributed
systems in a SaaS environment.
- Solid understanding of distributed systems and building
services on top of containers.
- Has experience scaling engineering orgs from 5 to 30+.
- Team player that will work with other departments (PM, Sales,
CS).
- BS or higher in Computer Science, or a related field.Pay Range
TransparencyDatabricks is committed to fair and equitable
compensation practices. The pay range(s) for this role is listed
below and represents base 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 utilizes 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.Local Pay Range$222,000 -
$300,000 USDAbout DatabricksDatabricks is the data and AI company.
More than 10,000 organizations worldwide - including Comcast,
Cond-- 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.BenefitsAt 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 .Our Commitment to Diversity and InclusionAt 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.ComplianceIf 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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Keywords: Databricks Inc., San Jose , Engineering Manager - Platform, Executive , Mountain View, California
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