Data Security Engineer
US$140,000 – US$165,000 / yr base salary
Posted 6 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$140,000 – US$165,000 / yr |
|---|
Field of studyComputer Science, Information Technology (or related)
Study levelBachelor's
CertificationsCertified Information Security Manager (CISM), SC-401 Information Security Administrator
Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital.
For more information, visit www.audaxgroup.com or follow Audax Group on LinkedIn.
POSITION SUMMARY:
The Microsoft Purview Data Security Engineer administers Microsoft Purview across the firm and is the hands-on owner of how the platform runs day to day, spanning data classification and sensitivity labeling, data loss prevention, insider risk, and records retention. The engineer translates data protection requirements set by Cybersecurity, Compliance, and Legal into working Purview policy, then tunes it, investigates what it detects, and keeps it accurate as the firm's data and workflows change. The role reports to the Head of Cybersecurity and partners daily with Legal, Compliance, HR, IT, and business unit leadership.
RESPONSIBILITIES:
- Information Protection and Data Classification
- Build, test, and maintain custom sensitive information types, trainable classifiers, document fingerprints, and exact data match classifiers for firm specific content.
- Administer sensitivity labels and label policies, including auto labeling, client side labeling, and label driven encryption, across SharePoint, Teams, Exchange, and OneDrive.
- Diagnose labeling failures and misclassification, identify files that did not receive an intended label, and remediate the cause.
- Validate classifier and label accuracy through structured spot checking with data owners, and tune detection logic on the results.
- Apply sensitivity classification across firm content using sensitive information types, trainable classifiers, document fingerprints, exact data match, and SharePoint document metadata and managed properties.
- Data Loss Prevention
- Tune and extend DLP policies across Exchange, SharePoint, OneDrive, Teams, endpoint, and browser surfaces, and build new policies where coverage gaps are identified.
- Maintain a DLP scenario register mapping each business risk to a trigger, policy, and enforcement mode, and move policies from audit only through notification to enforcement.