Staff Security Field Engineer

The Role

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.

Responsibilities

• 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.
• Contribute to internal-facing services and automation that make life easier for our field staff and our customers.
• Identify customer pain points and work with product management and product marketing to improve our product and our messaging.
• Work with product management and product marketing to improve our product and our messaging.
• Contribute to process improvement, automation, and technical leadership.

Requirements

• 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.
• Some scripting or programming experience, and excitement to use AI relentlessly to scale our impact across many thousands of customers and employees.
• Understanding of the Databricks platform is a strong plus.

Qualifications

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.

Skills

• Strong communication skills, both written and verbal.
• Ability to explain complex security concepts in simple terms.
• Experience with multiple security domains.
• Scripting or programming experience.
• Experience with AI and machine learning.
• Understanding of the Databricks platform.

Benefits

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.

Pay & Schedule

• Zone 1 Pay Range: $194,800—$267,850 USD
• Zone 2 Pay Range: $175,400—$241,100 USD
• Zone 3 Pay Range: $165,600—$227,700 USD
• Zone 4 Pay Range: $155,800—$214,300 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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.