Avatar for Databricks
One cloud platform for massive scale data engineering and collaborative data science
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • +3

Engineering Manager - Backend

Posted: 3 years ago
Visa Sponsorship

Not Available

RelocationAllowed

About the job

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 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.

As an Engineering Manager, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

  • Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
  • Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
  • Build tools to allow Databricks engineers to operate their services across different clouds and environments
  • Build services, products and infrastructure at the intersection of machine learning and distributed systems.

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:

  • Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs.
  • Partner with PM, Sales, and Customers to develop innovative features.
  • BS (or higher) in Computer Science, or a related field.
  • 5 years of Engineering experience and 2 years of Engineering Management experience.

Benefits

  • Health insurance reimbursement and collective healthcare scheme
  • Life, accident and disability coverage
  • Company pension
  • Paid parental leave
  • Annual vacation bonus
  • Equity awards
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel accident insurance
  • Mental wellness resources

About Databricks

Databricks is the data and AI company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

About the company

Databricks company logo
One cloud platform for massive scale data engineering and collaborative data science1001-5000 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • Valuation $1B+
    This company has a valuation of $1B or more
  • 4.6
    Highly rated
    Databricks is highly rated on Glassdoor, with 4.6 out of 5 stars
  • 4.7
    Strong Leadership
    Employees rate Databricks 4.7/5 on Glassdoor for faith in leadership
Learn more about Databricks image

Funding

AMOUNT RAISED
$990M
FUNDED OVER
8 rounds
Rounds
F
$400,000,000
Series F - Oct 2019+7

Founders

Quinn Hodges
Founder • 3 years
San Francisco
image
View the team image

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