3 months ago

Sr. Manager, Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead foundational Trust and Safety engineering teams at scale, defining strategy for core platform services, driving reliability, security, and performance across distributed systems. Partner with product and engineering leaders to embed secure, scalable solutions, while growing high-performing teams and aligning architecture with industry best practices to meet governance and privacy needs.

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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 governance, privacy, and security needs.

Pay and Benefits

Salary: USD 228,600 - 314,250 annually

Key Requirements

•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 scaling organizations through multiple growth phases.
•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.

Experience:DataAICloudSoftware engineering

Education:PhD / Doctorate

Languages:English

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Databricks

3 months ago

Sr. Manager, Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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 governance, privacy, and security needs.

Pay and Benefits

Salary: USD 228,600 - 314,250 annually

Key Requirements

•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 scaling organizations through multiple growth phases.
•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.

Experience:DataAICloudSoftware engineering

Education:PhD / Doctorate

Languages:English

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn