Strategic Overview
Principal Security Field Engineer at Databricks is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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 will identify customer pain points and work with….
The role is listed for California with remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
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…
Key Responsibilities & Objectives
- 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 will identify customer pain points and work with product management and product marketing will improve our product and our messaging
- 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.
Required Qualifications & Candidate Blueprint
- 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
- Understanding of the Databricks platform is a strong plus.
Salary & Benefits
Published compensation: Zone 1: $270,300 – $371,700 USD · Zone 2: $243,300 – $334,500 USD · Zone 3: $229,800 – $315,900 USD · Zone 4: $216,200 – $297,350 USD
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly 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 — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.