Databricks

Senior Engineering Manager - Trust and Safety

Databricks$206K — $273K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 9+ years of software engineering experience, with 5+ years in leadership roles.
  • Proven expertise in building and managing high-performing engineering teams.
  • In-depth knowledge of application security and internal access control, including areas like authentication and cryptography.
  • Experience influencing cross-functional initiatives without direct authority.
  • Ability to provide architectural direction while ensuring high-quality execution.
  • Excellent communication and leadership skills to promote security principles.
  • Bachelor's, Master's, or PhD in Computer Science or relevant field.

Responsibilities

  • Build and scale a high-performing engineering team focused on application security.
  • Define and execute strategies for secure frameworks and tooling across Databricks.
  • Collaborate with engineering and product leaders to embed security in new initiatives.
  • Promote adoption of security best practices through scalable frameworks and services.
  • Oversee the design of secure systems while reducing technical debt in security components.
  • Represent Databricks’ security practices to senior leadership and industry stakeholders.

Benefits

  • Comprehensive range of benefits tailored to meet employee needs.
  • Equal employment opportunity standards upheld to promote diversity.
  • Equity and performance-based bonuses may be part of total compensation.
Full Job Description
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. Security Foundation Engineering is a cornerstone of this mission in protecting our platform and customers from evolving threats. We are looking for a Senior Engineering Manager to lead this area and set the direction for how security is built into every layer of our platform.

The impact you will have:
  • Build and scale a high-performing engineering team focused on application security, internal access, and compliance.
  • Define and execute the strategy for secure frameworks, primitives, and tooling used across Databricks.
  • Partner closely with engineering and product leaders across the company to ensure security by design in all new initiatives.
  • Drive adoption of security best practices across the organization by building easy-to-use, scalable frameworks and services.
  • Provide technical oversight for secure system design and guide efforts to reduce technical debt in core security components.
  • Represent Databricks and our security practices internally to senior leadership and externally to the industry.

What we look for:
  • 9+ years of professional experience in software engineering, with 5+ years of experience leading engineering teams.
  • Strong track record building and managing high-performing teams of engineers, with experience growing organizations through multiple phases of scale.
  • Deep understanding of application security and internal access control domains, with expertise in one or more of: authentication, identity management, access control, cryptography, secure frameworks, detection and response.
  • Demonstrated success driving cross-functional initiatives that require influencing without direct authority.
  • Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality execution.
  • Strong communication and leadership skills, with the ability to evangelize security and inspire 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

$206,100-$273,975 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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 https://www.mybenefitsnow.com/databricks.

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.

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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