368,657open jobs
9,442companies
50,883added this week
Browse all
Salary
$151k – $329k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 9+ years exp
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-1107

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.

Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load.

The impact you will have:

  • Define and drive the strategy for IAM systems, including authentication and access control.
  • Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.
  • Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.
  • Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.
  • Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.
  • Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

What we look for:

  • 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment.
  • Experience building large-scale distributed systems with high availability and security requirements.
  • Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.
  • Proven success driving cross-functional security initiatives and influencing leaders without direct authority.
  • Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.
  • Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.
  • BS, MS, or PhD in Computer Science or a related technical field.

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

$190,000—$261,250 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.
368,657 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
$170k – $310k per year (Estimated) • In office
Java
Python
Scala
Databases
Databricks
Apply
$248k – $472k per year (Estimated) • Remote/Hybrid • 10+ years exp • San Jose
Go
Python
SQL
Databases
Amazon Neptune
Apache Kafka
Databricks
Milvus
Neo4j
Pinecone
RabbitMQ
Snowflake
AI/ML
Claude
Claude Code
Copilot
Cursor
LLM
LLM Guardrails
Model Context Protocol
Frontend
GraphQL
DevOps
AWS
Azure
GCP
Self-Healing
Vector
Analytics
ETL/ELT
Marketing
Salesforce
Apply
$76k – $110k per year • In office • Contractor • 5+ years exp • Bachelor's Degree • Dublin
Python
SQL
Databases
Databricks
Snowflake
DevOps
CI/CD
Shift-Left
Cybersecurity
Shift-Left Security
Analytics
ETL/ELT
QA
Selenium
Apply
$76k – $182k per year (Estimated) • Remote/Hybrid • Paris
Java
Python
Scala
Databases
Databricks
AI/ML
Spark
Apply
Data Scientist 3 days ago
$191k – $263k per year • Remote/Hybrid • Full-Time • 8+ years exp • San Francisco • Seattle • New York
Python
SQL
Databases
Amazon Redshift
Databricks
AI/ML
dbt
Apply
$170k – $310k per year (Estimated) • In office
Java
Python
Scala
Databases
Databricks
Apply
$76k – $182k per year (Estimated) • Remote/Hybrid • Paris
Java
Python
Scala
Databases
Databricks
AI/ML
Spark
Apply
$184k – $350k per year (Estimated) • In office
Databases
Databricks
AI/ML
AI Agents
LLM Guardrails
Model Context Protocol
Apply
$85k – $206k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Munich
Python
SQL
Python
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
$179k – $362k per year (Estimated) • In office • 10+ years exp • San Francisco
Databases
Databricks
Apply
$70k – $196k per year • Remote/Hybrid • Full-Time • 12+ years exp • Associate's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
Databases
Databricks
Google BigQuery
SAP HANA
Snowflake
AI/ML
Knowledge Graph
DevOps
Azure
Apply
$70k – $196k per year • Remote/Hybrid • Full-Time • 5+ years exp • Associate's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
DevOps
SLI/SLO/SLA
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
$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
See all jobs
This is one of many
368,657 more open roles from verified company boards, updated every day.