Databricks

Engineering Manager - Identity and Access Management (IAM)

Databricks$190K — $261K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 9+ years in software engineering, including 2+ years in leadership roles.
  • Experience building large-scale, secure distributed systems.
  • Proven ability to manage and develop high-performing teams through growth phases.
  • Successful track record with cross-functional security initiatives and influence without direct authority.
  • Strong architectural skills with a pragmatic approach to execution.
  • Excellent communication and leadership abilities to advocate IAM practices.
  • BS, MS, or PhD in Computer Science or a related field.

Responsibilities

  • Define and execute the IAM strategy for authentication and access control.
  • Build a high-performing engineering team focused on IAM at cloud scale.
  • Provide technical oversight for scalable IAM component architecture.
  • Collaborate with product and engineering leaders to enhance secure identity solutions.
  • Ensure IAM systems meet regulatory compliance and industry best practices.
  • Attract and nurture engineering talent, fostering a culture of innovation and trust.

Benefits

  • Comprehensive benefits and perks tailored to employee needs.
Full Job Description
P-1107

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

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 click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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