Principal Security Field Engineer
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work with field teams and customers to explain security architectures, answer compliance questions, and train colleagues. You will create slide decks, white papers, and knowledge base articles, build automation and internal services, and share customer pain points with product teams.
Requirements
- 7+ years of technical pre-sales or post-sales experience
- Understanding of complex security principles and architectures and ability to communicate them simply
- Experience in multiple security domains such as IaaS, PaaS, SaaS, network and endpoint security, web applications, vulnerability management, identity management, and SIEM
- Some scripting or programming experience and eagerness to use AI
- Understanding of the Databricks platform is a strong plus
Responsibilities
- Work with field teams and customers to understand architectures, address concerns, and handle compliance questions
- Create scalable slides, white papers, and knowledge base articles
- Deliver internal enablement and train team members
- Improve processes and build automation
- Contribute to internal-facing services and automation
- Share customer pain points with product management and product marketing
Benefits
- Annual performance bonus eligibility
- Equity