368,530open jobs
9,432companies
50,439added this week
Browse all
Salary
$211k – $395k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 15+ years exp
Employment
Internship
Overview
Company
Impact
Profile match
Databricks is an American software company founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow at the University of California, Berkeley. Its data intelligence platform unifies data engineering, warehousing, governance, analytics and machine learning on a lakehouse architecture that stores open table formats in a customer's own cloud object storage. Headquartered in San Francisco and available on AWS, Azure and Google Cloud, the platform is used by tens of thousands of organisations to build pipelines, dashboards and production AI applications.

P-1124

Summary

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. 

The impact you will have:

  • Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
  • Attract top talent from across the industry.
  • Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
  • Represent Databricks at academic and industry conferences & events

What we look for:

  • 9+ years of experience in Data Security or related areas  and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
  • 15+ years of experience building large scale distributed systems with high availability
  • Leadership skills and experience to lead across functional and organizational lines
  • Strong communication skills to explain and evangelize Data Security to senior leaders across the company
  • Bias to action and passion for delivering high-quality solutions
  • MS or Ph.D. in Computer Science or related fields

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$228,400—$303,550 USD

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,530 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Mountain View
$158k – $288k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Chicago
Python
SQL
Python
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
Lead Data Steward 1 hour ago
$25k – $58k per year (Estimated) • In office • Full-Time • Gurgaon
SQL
Databases
Databricks
PostgreSQL
Snowflake
AI/ML
AI Agents
Copilot
Analytics
Power BI
Apply
Sr. SDET 1 hour ago
$109k – $163k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Sunnyvale
Java
Python
SQL
Java
Spring Framework
Mobile
JUnit
DevOps
CI/CD
Kubernetes
QA
Cypress
JMeter
Postman
Apply
$79k – $159k per year (Estimated) • In office • Full-Time • 6+ years exp • Lincoln
C#
C#
.NET
DevOps
AWS
Azure
CI/CD
Docker
Dynatrace
GCP
GitHub
GitHub Actions
Grafana
Jenkins
Kubernetes
Splunk
QA
Cypress
JMeter
k6
Pact
Playwright
Postman
Rest-Assured
Selenium
Supertest
WebDriverIO
Apply
$140k – $263k per year (Estimated) • Remote
DevOps
Ansible
CI/CD
GitOps
Kubernetes
OpenShift
Rancher
Terraform
Apply
$158k – $288k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Chicago
Python
SQL
Python
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
$172k – $314k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Seattle
Python
SQL
Python
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
$149k – $268k per year (Estimated) • In office
Databases
Databricks
Apply
$149k – $268k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • San Francisco
Databases
Databricks
AI/ML
Spark
DevOps
AWS
Azure
GCP
Analytics
ETL/ELT
Apply
$179k – $362k per year (Estimated) • In office • 10+ years exp • San Francisco
Databases
Databricks
Apply
$167k – $291k per year • Equity • In office • Full-Time • 5+ years exp • Mountain View
AI/ML
AI Agents
Semantic Search
Management
Google Workspace
ServiceNow
Apply
$70k – $206k per year • In office • Full-Time • 12+ years exp • Associate's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
AI/ML
AI Agents
Apply
$94k – $294k per year • In office • Full-Time • 12+ years exp • Associate's Degree • Chicago • Portland • Milwaukee • Dallas • Columbus
Apply
$215k – $393k per year (Estimated) • Remote/Hybrid • Full-Time • 10+ years exp • High School Diploma • San Francisco • Mountain View
AI/ML
JAX
TensorFlow
TPU
Apply
$70k – $206k per year • In office • Full-Time • 12+ years exp • Associate's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
AI/ML
AI Agents
Apply
See all jobs
This is one of many
368,530 more open roles from verified company boards, updated every day.