Role Overview As a Data Loss Prevention (DLP) Engineer, you will play a pivotal role in protecting the firms most sensitive data. You will be responsible for the end-to-end lifecycle of our DLP program – from developing …
Skills: Data Loss Prevention, Microsoft Purview, Zscaler, Proofpoint, ServiceNow
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Full-time
Posted 6d ago
~40 hrs/week
Responsibilities
You will be responsible for the end-to-end lifecycle of the Data Loss Prevention program, including developing detection rules and analyzing complex security events. Additionally, you will engineer automation workflows to streamline case management and integrate various security tools to enhance operational efficiency.
Requirements
The role requires hands-on experience with DLP tools like Microsoft Purview, Zscaler, and Proofpoint, alongside strong proficiency in Python or PowerShell for automation. Candidates should possess a background in security operations or software engineering with a focus on detection engineering and system architecture.
Full job description
Role Overview
As a Data Loss Prevention (DLP) Engineer, you will play a pivotal role in protecting the firms most sensitive data. You will be responsible for the end-to-end lifecycle of our DLP program – from developing and turning detection rules to analyzing complex DLP events. Beyond traditional DLP operations, this role requires a strong automation mindset. You will leverage SOAR capabilities and ServiceNow to automate workflows, streamline case management and automate review activities across modern security stack (Microsoft Purview, Defender, Zscaler, Proofpoint) as well as internally developed systems.
Key Responsibilities
Design, implement and continuously tune DLP detection capabilities and policies across Microsoft Purview, Zscaler, Proofpoint to maximize true positives and minimize operational friction
Develop custom detection logic and integrations for internally developed systems
Perform regular testing and validation of existing DLP controls to identify coverage gaps and bypass techniques
Engineer automation workflows to assist DLP analysts, reducing manual review time and automating the triage of low-fidelity events
Collaborate directly with data owners, legal and compliance teams to translate business and regulatory requirements into technical enforcement rules
Evaluate and integrate additional DLP tools, and participate in proof-of-concept trials.
Required Technical Skills
DLP & Security Operations: Proven experience handling data loss incidents, insider threat investigations, or general security incident response. You need to know what a good alert looks like to build one
Core Stack Expertise: Deep, hands-on administrative experience with tools like Microsoft Purview, Zscaler, ServiceNow and Proofpoint
Automation & Scripting: Strong proficiency in tools like Python or PowerShell. You must be able to interact with REST APIs to pull logs, enrich alerts, and trigger automated response actions
Detection Engineering: Proficiency with regular expressions, exact data matching, indexed document matching and custom dictionary creation
System Architecture: Solid understanding of enterprise network routing, proxies, cloud access, and mail transport rules
What Sets You Apart
Experience integrating DLP tooling with SOAR platforms (e.g., Splunk SOAR, Cortex XSOAR, Tines) to build end-to-end automated review pipelines
Background in software engineering or DevSecOps, with an understanding of CI/CD pipelines and version control for managing detection as code
A “builder” mindset: you prefer to solve problems with code rather than relying solely on out-of-the-box vendor configurations
Applied AI/ML in Detection Engineering – experience moving beyond static rules by training, tuning and deploying ML classifiers for context-aware data discovery. Familiarity with Microsoft Purview’s Trainable Classifiers or using custom Natural Language Processing models to identify sensitive data types that traditional regex approach misses
Agentic workflow automation: experience building next-generation, LLM-driven “agentic” workflows. You have moved beyond basic SOAR playbooks and built autonomous systems where AI agents gather contextual telemetry, interact directly with employees (e.g, via MS Teams bots, email, task management systems) to verify business intent, and pre-triage alerts before they are manually reviewed
Related keywords
Data Loss PreventionDLPMicrosoft PurviewDefenderZscalerProofpointServiceNowSOARPythonPowerShellREST APIsDetection EngineeringDevSecOpsCI/CDMachine LearningNatural Language Processing
We aspire to be the world’s most exceptional financial institution, united by our shared values of partnership, client service, integrity, and excellence.
Operating at the center of capital markets, we act as one firm, mobilizing our people, capital, and ideas to deliver superior results across our clients’ most complex challenges.
For 157 years, Goldman Sachs has delivered world-class execution on a global scale across our leading Global Banking & Markets and Asset & Wealth Management businesses.
Apprenticeship is central to our culture, with hands-on coaching and access to leaders who bring decades of experience and expertise. With office locations around the world, we offer a broad range of career opportunities to those who insist on excellence and thrive on performance.
Find our Social Media Disclosures here: gs.com/social-media-disclosures
Offices: 200 West Street, New York, New York 10282, US
Based on 547 listings with disclosed salaries, most software jobs in Dallas, TX pay between $80k–$210k per year. Individual offers vary with seniority, company size, and specialization.
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