Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Principal Security Field Engineer
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- Remote from
- USA
- Salary
- USD 216,200–371,700 / yr
- Department
- Cybersecurity
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 8 Nov 2026
- Listing views
- 37
- Application actions
- 2
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The role, at a glance.
This Principal Security Field Engineer role partners with customers and internal field teams to explain Databricks security architecture, address security reviews, and resolve compliance questions. The position emphasizes scalable impact through customer-facing collateral, internal enablement, knowledge management, automation, and AI-assisted workflows rather than relying only on one-to-one meetings. Candidates need at least seven years of technical pre- or post-sales experience, strong security architecture knowledge, and the ability to make complex concepts understandable. The role also collaborates with product management and product marketing to turn customer security pain points into product and messaging improvements.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Pace & Pressure
4/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would first identify the customer’s architecture, data sensitivity, regulatory requirements, and decision timeline. I would map their questions to validated platform controls and evidence, clearly distinguish native capabilities from shared-responsibility items, and provide reusable documentation where possible. I would capture recurring gaps so the team can improve enablement content or automate future responses.
I start with the business risk and desired outcome, then use a layered explanation. Executives receive a concise view of risk reduction, governance, and accountability, while technical teams receive architecture diagrams, control mappings, data flows, and implementation details. I confirm understanding by inviting questions and documenting decisions and follow-up actions.
I assess identity and access management, tenant isolation, encryption and key management, network controls, logging and monitoring, vulnerability management, secure software development, incident response, data governance, and compliance evidence. The priority changes based on the customer’s workloads, threat model, and applicable regulations. I also clarify shared-responsibility boundaries early.
After identifying a repeated question, I would analyze the root concern and build a durable asset such as a security FAQ, white paper, architecture diagram, response template, or internal knowledge-base article. If the task is highly repetitive, I would explore an automated workflow or AI-assisted retrieval solution with approved source material. I would measure adoption and reduction in time spent on repeated requests.
I would synthesize feedback into specific, evidence-based themes: the customer problem, affected personas, frequency, business impact, current workaround, and recommended outcome. I would separate product-control gaps from documentation or messaging gaps, then work with the appropriate team on prioritization. Closing the loop with field teams and customers helps validate that the change improved the experience.
About this role.
RDQ327R177
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:
- 7+ 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.
Zone 1 Pay Range
$270,300—$371,700 USD
Zone 2 Pay Range
$243,300—$334,500 USD
Zone 3 Pay Range
$229,800—$315,900 USD
Zone 4 Pay Range
$216,200—$297,350 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
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