Databricks

Principal Security Field Engineer

Databricks
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3 months ago
Remote, United StatesStaff+
H1B sponsor

Base Salary

$216k - $372k/yr

Responsibilities

  • Work with field teams and customers to explain Databricks platform security, architectures, and compliance considerations.
  • Answer customer security review questions and address concerns across multiple security domains.
  • Create scalable customer-facing content including slide decks and white papers.
  • Train and enable Databricks team members through internal content, knowledge management, and systems.
  • Identify customer pain points and collaborate with product management and product marketing to improve the product and its messaging.
  • Contribute to process improvement, automation, and internal-facing services that support field staff and customers.
  • Provide technical leadership across customer interactions, enablement, collateral, and automation initiatives.

Requirements

  • At least 5 years of technical pre-sales or post-sales experience explaining complex technical concepts to customers or field teams.
  • Experience across multiple security domains such as IaaS, PaaS, SaaS, network and endpoint security, web applications, vulnerability management, identity management, and SIEM.
  • Strong understanding of complex security principles and architectures, with the ability to communicate them simply.
  • Some scripting or programming experience and enthusiasm for using AI productivity tools.
  • Understanding of the Databricks platform is a strong plus.

Benefits

  • Comprehensive benefits and perks are offered, with specific details varying by region.
  • Candidates in other US locations may be considered.

Tech Stack

Apache SparkDatabricksMLflow

Categories

SecuritySolutions Engineering
Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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