Databricks
Senior Engineering Manager - Trust and Safety
Databricks, Mountain View, California, us, 94039
Senior Engineering Manager - Trust and Safety
Databricks is seeking a Senior Engineering Manager to lead Security Foundation Engineering within Trust & Safety. This role focuses on building and scaling secure frameworks, primitives, and tooling across the Databricks platform, with a emphasis on application security, internal access, and compliance. Overview
Join a team dedicated to protecting the Databricks data and AI platform by embedding security into every layer of the product. You will partner with engineering and product leaders to design and implement secure systems, drive security best practices, and lead a high-performing engineering team through multiple phases of growth. Responsibilities
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 with engineering and product leaders to ensure security by design in new initiatives. Drive adoption of security best practices by building easy-to-use, scalable frameworks and services. Provide technical oversight for secure system design and reduce technical debt in core security components. Represent Databricks and our security practices to senior leadership and externally to the industry. What We Look For
9+ years of professional software engineering experience, with 5+ years in leading engineering teams. Strong track record building and managing high-performing teams with scalable growth experience. Deep understanding of application security and internal access control domains, with expertise in authentication, identity management, access control, cryptography, secure frameworks, detection and response. Experience driving cross-functional initiatives that require influencing without direct authority. Ability to provide architectural technical direction while enabling pragmatic execution. Excellent 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 Local Pay Range for this role is $217,000—$288,400 USD. Total compensation may include annual performance bonus, equity, and region-specific benefits. The exact package is based on factors such as skills, experience, certifications, and location. For more information about ranges by location, please visit our page. About Databricks
Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. The company is headquartered in San Francisco with offices worldwide and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits
Databricks offers comprehensive benefits and perks. For region-specific details, please visit the benefits page. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and comply with equal employment opportunity standards, with consideration given without regard to age, color, disability, ethnicity, gender identity or expression, national origin, religion, sexual orientation, veteran status, and other protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, the Employer may determine the need for a U.S. government license and may decline to proceed with an applicant on that basis alone.
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Databricks is seeking a Senior Engineering Manager to lead Security Foundation Engineering within Trust & Safety. This role focuses on building and scaling secure frameworks, primitives, and tooling across the Databricks platform, with a emphasis on application security, internal access, and compliance. Overview
Join a team dedicated to protecting the Databricks data and AI platform by embedding security into every layer of the product. You will partner with engineering and product leaders to design and implement secure systems, drive security best practices, and lead a high-performing engineering team through multiple phases of growth. Responsibilities
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 with engineering and product leaders to ensure security by design in new initiatives. Drive adoption of security best practices by building easy-to-use, scalable frameworks and services. Provide technical oversight for secure system design and reduce technical debt in core security components. Represent Databricks and our security practices to senior leadership and externally to the industry. What We Look For
9+ years of professional software engineering experience, with 5+ years in leading engineering teams. Strong track record building and managing high-performing teams with scalable growth experience. Deep understanding of application security and internal access control domains, with expertise in authentication, identity management, access control, cryptography, secure frameworks, detection and response. Experience driving cross-functional initiatives that require influencing without direct authority. Ability to provide architectural technical direction while enabling pragmatic execution. Excellent 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 Local Pay Range for this role is $217,000—$288,400 USD. Total compensation may include annual performance bonus, equity, and region-specific benefits. The exact package is based on factors such as skills, experience, certifications, and location. For more information about ranges by location, please visit our page. About Databricks
Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. The company is headquartered in San Francisco with offices worldwide and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits
Databricks offers comprehensive benefits and perks. For region-specific details, please visit the benefits page. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and comply with equal employment opportunity standards, with consideration given without regard to age, color, disability, ethnicity, gender identity or expression, national origin, religion, sexual orientation, veteran status, and other protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, the Employer may determine the need for a U.S. government license and may decline to proceed with an applicant on that basis alone.
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