Sr. Manager, Engineering

Databricks Databricks · Data AI · San Francisco, CA · Engineering - Pipeline

This role is for a Senior Engineering Manager at Databricks to lead foundational teams within Trust and Safety. The focus is on building and scaling critical infrastructure and services for their data and AI platform, emphasizing reliability, security, and performance at cloud scale. The role involves defining strategy, providing technical oversight, and growing engineering talent.

What you'd actually do

  1. Define and drive the strategy for foundational systems operating at cloud scale.
  2. Build and scale a high-performing engineering team focused on large-scale distributed architecture, reliability, and security.
  3. Provide technical oversight on architecture and design for components that can operate at massive scale, with high requirements for reliability, security, and performance.
  4. Partner with engineering and product leaders across Databricks to embed secure, scalable solutions into every aspect of our product.
  5. Ensure alignment with industry best practices, helping customers meet their own governance, privacy, and security needs.

Skills

Required

  • software engineering
  • engineering leadership experience
  • building large-scale distributed systems
  • building and managing high-performing teams
  • scaling organizations
  • driving cross-functional initiatives
  • technical direction at the architecture level
  • communication and leadership skills

Nice to have

  • experience in a fast-paced, dynamic environment
  • experience scaling organizations through multiple phases of growth
  • influencing leaders without direct authority
  • fostering a pragmatic execution mindset
  • inspire both teams and stakeholders

What the JD emphasized

  • high requirements for reliability, security, and performance
  • large-scale distributed architecture
  • high-performing teams