Staff Security Field Engineer
Join Databricks as a Staff Security Field Engineer to empower customers and enhance security practices across the platform.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 12 hours ago
Skills & Technologies
AI in the day-to-day
You'll use AI relentlessly to scale our impact across many thousands of customers and employees.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In the role of Staff Security Field Engineer at Databricks, the individual engages directly with customers to address security concerns and enhance their understanding of the Databricks platform. Key skills include a strong grasp of security principles across various domains, along with experience in technical pre-sales or post-sales environments. This position is ideal for someone with over six years of relevant experience who can simplify complex concepts for diverse audiences. The team emphasizes scalability and efficiency, aiming to create impactful resources that benefit both customers and internal staff.
Joblaze insights
- Listed about 3 months ago — first seen on Joblaze July 8, 2026. Last confirmed on Databricks's careers page October 9, 2026.
- Salary band is in line with the typical range for Security roles (median ~$170,000).
- Starts above 6% of 84 comparable staff security roles in United States we track (median $200,000 across 38 companies).
- identity management appears in 8.2% of 110 comparable staff security roles in United States; Network Security appears in 0.9% of 110 comparable staff security roles in United States.
Quick facts
- Is the Staff Security Field Engineer role remote?
- It's hybrid — Databricks expects some on-site time in Remote - California.
- What's the salary range?
- Databricks lists $155,800–$267,850 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Staff Security Field Engineer role.
- Where is the role based?
- Databricks is hiring for this position in Remote - California.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Databricks, Endpoint Security, IaaS, Network Security, PaaS, SIEM.
- What seniority level is this role?
- Databricks targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Security Field Engineer role at Databricks.
From the original posting
RDQ327R181
While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered.
The Security Field Engineering team helps data teams solve the world's toughest problems by empowering customers to understand the security of the Databricks platform and by helping account teams address questions that come up during security reviews. Reporting to the Head of Security Field Engineering, you will meet with customers to answer questions, train other Databricks team members, build customer-facing content such as slide decks, white papers, and maybe write code that customers can use. Our team prioritizes scale -- we'd rather spend an hour building a doc than be in ten hours of meetings, rather deliver agent skills and knowledge base articles than be the rock star answering all the questions. If you want high growth, autonomy, and to touch all elements of security, look no further.
The impact you will have:
- You will be viewed as a security expert as you work with field teams and customers to understand architectures, address concerns and handle compliance questions
- Your contributions may come in multiple ways, including customer interactions, scalable slides or white paper creation, internal enablement, process improvement, automation, or technical leadership—no one excels in every area, but all are valuable
- When you’re on the call, you will be directly appreciated. When you’re not, your impact will be felt across the company through the enablement, collateral, knowledge management, and systems you build
- You might not come from an assurance team, but you’ll come up to speed with common security and compliance regimes to save customers hours of effort and months of uncertainty
- You will identify customer pain points and work with product management and product marketing will improve our product and our messaging
- You will contribute to internal-facing services and automation that make life easier for our field staff and our customers.
- You are probably already great at AI productivity, but you’ll sit in a group focused on becoming legendary.
What we look for:
- 6 + years of technical pre-sales or post-sales experience where you're the person in the room explaining the hard concepts
- Equal love of understanding complex security principles and architectures, and of communicating them simply
- Real-world experience in multiple security domains such as IaaS+PaaS+SaaS, network and endpoint security, web applications, vulnerability management, identity management, and SIEM, though not all are needed
- You've done some scripting or programming, and are excited to use AI relentlessly to scale our impact across many thousands of customers and employees.
- Understanding of the Databricks platform is a strong plus.
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 base 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 anticipated 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 visit our page here.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.