Associate Tech Risk DLP Engineering

Goldman Sachs

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Dallas, TX
Posted: 37 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $176k

$129k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $140,550–$211,200.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 134 open roles on FindRole.

Listed pay typically runs $137,000–$250,000 across 55 roles with salary data.

Most-posted roles

View all roles at Goldman Sachs

At a glance

TL;DR · Associate Tech Risk DLP Engineering

Role Posting Log in to save

Tech Risk - Associate - DLP Engineering - Dallas is a role within the Engineering Division focused on protecting sensitive data through the end-to-end lifecycle of a Data Loss Prevention program. The Associate will design, implement, and tune detection capabilities while developing custom logic for internal systems. Key responsibilities include performing regular testing of controls, collaborating with legal and compliance teams to translate requirements into technical rules, and engineering automation workflows to reduce manual review times. The role requires expertise in Microsoft Purview, Zscaler, Proofpoint, and ServiceNow. Candidates must possess skills in Python or PowerShell, REST APIs, and detection engineering techniques like regular expressions. Advanced capabilities include integrating tools with SOAR platforms, managing detection as code via CI/CD pipelines, and implementing AI/ML classifiers or agentic workflows to identify sensitive data types.

Skills

DLP Microsoft Purview Zscaler Proofpoint ServiceNow SOAR Python PowerShell REST APIs Regex CI/CD DevSecOps Natural Language Processing LLM MS Teams

What you'll do

Design, implement, and tune DLP detection capabilities across Microsoft Purview, Zscaler, and Proofpoint platforms.
Develop custom detection logic and integrations for internally developed systems.
Perform regular testing and validation of existing DLP controls to identify coverage gaps.
Engineer automation workflows using SOAR and ServiceNow to reduce manual review time for analysts.
Translate business and regulatory requirements from legal and compliance teams into technical enforcement rules.
Evaluate and integrate new DLP tools through proof-of-concept trials.
Build advanced automated pipelines using Python, PowerShell, and REST APIs to enrich alerts and trigger responses.
Develop LLM-driven agentic workflows to gather context and pre-triage alerts before manual review.

What we're looking for

Proven experience handling data loss incidents, insider threat investigations, or general security incident response.
Deep, hands-on administrative experience with Microsoft Purview, Zscaler, ServiceNow, and Proofpoint.
Strong proficiency in Python or PowerShell to interact with REST APIs for log retrieval and automated actions.
Proficiency in regular expressions, exact data matching, indexed document matching, and custom dictionary creation.
Solid understanding of enterprise network routing, proxies, cloud access, and mail transport rules.
Experience integrating DLP tooling with SOAR platforms like Splunk SOAR, Cortex XSOAR, or Tines (preferred).
Background in software engineering or DevSecOps with an understanding of CI/CD pipelines and version control (preferred).
Experience with applied AI/ML for detection engineering or building LLM-driven agentic workflows (preferred).