Sr. Manager, Engineering

Databricks; Mountain View (WY); On-site; USD 228,600 - 314,250; Full time

Benefits offered by this job

Equity

Performance bonus

Comprehensive benefits

Job summary

Databricks is seeking a Senior Engineering Manager for its Trust & Safety organization to define strategy and lead foundational platform services at scale. You will oversee critical infrastructure ensuring reliability, security, and performance under heavy load.

The role emphasizes cross-functional leadership, architecture oversight, and talent development across Databricks’ core platform teams.

Qualifications

• Significant engineering leadership experience in a fast-paced environment.
• Experience building large-scale distributed systems with high availability.
• Proven track record scaling organizations and leading cross-functional initiatives.
• Ability to set architecture direction and align with product goals.
• Strong communication and leadership skills.
• BS/MS/PhD in Computer Science or related field.

Responsibilities

• Define and drive strategy for foundational systems at cloud scale.
• Build and scale high-performing teams focused on reliability and security.
• Provide architectural oversight for scalable components.
• Collaborate with product and engineering to embed secure solutions.
• Attract top engineering talent and foster a culture of trust.

Skills

Engineering leadership

Large-scale distributed systems

Cross-functional collaboration

Security/compliance focus

Architectural direction

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in Computer Science

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 our Trust & Safety organization has the mission to build the most trusted Data and AI platform in the world. We are looking for a Senior Engineering Manager to lead foundational teams within Trust and Safety and define the strategy for how our core platform services are built and scaled. You will lead teams owning critical infrastructure and services that must be highly reliable, secure, and fast under extreme load.

The impact you will have:

• Define and drive the strategy for foundational systems operating at cloud scale.
• Build and scale a high-performing engineering team focused on large-scale distributed architecture, reliability, and security.
• Provide technical oversight on architecture and design for 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 solutions into every aspect of our product.
• Ensure alignment with industry best practices, 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:

• Experience in software engineering, with significant engineering leadership experience in a fast-paced, dynamic environment.
• Experience building large-scale distributed systems with high availability and complex requirements.
• Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.
• Proven success driving cross-functional 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 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.

Local Pay Range

$228,600-$314,250 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.

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.

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.