Cloud & IT Staffing Solutions in Chicago, Boston, Dallas
1

Job Details

DLP Platform Engineer

Details
  • Req No : 105685
  • Number of Position : 1
  • Priority : High
Location

Irving, TX 75063, USA

Employment Type
  • Work Authorization Status : greencard, h4ead, l2ead, opt, tnvisa, uscitizen

    Duration : 12 months

    Location : Onsite

Technical Profile
  • Position Title : DLP Platform Engineer
  • Professional Experience : 10
  • Primary Skills : Microsoft Purview DLP, Policy design, architecture, PCI DSS
  • Additional Notes : contract

Our Client is seeking a subject matter expert on DLP platform architecture, policy engineering, data classification, and sensitive data discovery. You’ll be responsible for protecting critical business and customer data at massive scale spanning thousands of endpoints, cloud workloads, and SaaS applications while keeping false positives low and signal quality high. If you’re passionate about data protection, enjoy the challenge of tuning complex policy frameworks, this role was built for you.

Key Responsibilities

DLP Platform Engineering & Administration

Own the end-to-end engineering, configuration, and operational health of Microsoft Purview DLP and other DLP platforms across endpoint, network, and cloud channels.

Design, deploy, and maintain DLP policies that protect sensitive data including payment card information, employee PII, financial records, and proprietary business data.

Continuously monitor, tune, and optimize DLP policies to maximize detection accuracy while aggressively reducing false positives.

Manage platform upgrades, feature rollouts, and capacity planning to ensure the DLP infrastructure scales with business growth.

Develop and maintain platform documentation, runbooks, and standard operating procedures.

Data Classification & Sensitive Data Discovery

Lead sensitive data discovery initiatives using Microsoft Purview’s classification and content inspection capabilities to identify where sensitive data resides across the enterprise.

Design and refine sensitive information types (SITs), trainable classifiers, and labeling policies tailored to the organization’s data landscape.

Partner with data governance, privacy, and compliance teams to ensure classification taxonomies align with regulatory requirements and business needs.

Conduct ongoing data discovery assessments to identify emerging data risk and ensure newly created repositories and workflows are covered by DLP controls.

Integration & Collaboration

Integrate Microsoft Purview DLP with Microsoft Defender for Endpoint to extend data protection controls to managed devices across the enterprise.

Ensure DLP alerts and events flow into the organization’s SIEM platform for centralized visibility, correlation, and incident investigation.

Leverage ServiceNow for incident tracking, workflow automation, and integration with the broader security operations and IT service management ecosystem.

Collaborate with Security Operations, Incident Response, and Insider Threat teams to investigate and respond to DLP-triggered events.

Partner with cloud engineering, endpoint management, and application teams to ensure DLP coverage extends to new technologies and business initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Cybersecurity, or a related discipline is required; alternatively, four years of cybersecurity experience along with an active CISSP or CISM certification will also be considered.

5+ years of progressive experience in data loss prevention, data protection, or a closely related security engineering discipline.

Hands-on experience engineering and administering Microsoft Purview DLP (or legacy Microsoft 365 DLP / Microsoft Information Protection).

Strong expertise in DLP policy design, tuning, and false positive reduction across endpoint, network, and cloud DLP channels.

Practical experience with data classification frameworks, sensitive information types, and automated labeling in a Microsoft 365 environment.

Experience integrating DLP platforms with SIEM solutions and ITSM tools such as ServiceNow.

Excellent analytical and troubleshooting skills with the ability to diagnose complex policy behavior and platform issues.

Strong communication skills with the ability to translate data protection concepts for technical and non-technical stakeholders.

Preferred Qualifications

CDPSE (Certified Data Privacy Solutions Engineer), Microsoft SC-400 (Information Protection Administrator Associate) certification, AZ-500 (Azure Security Engineer).

Experience in large-scale retail, convenience store, fuel, or payment processing environments.

Familiarity with PCI DSS, state privacy regulations, or other data protection compliance frameworks.

Rate: $60-70/hr ( depends on experience). This is a contract opportunity with candidates expected to work 40 hours a week. Candidates should be willing to work on W2 only .

About Us

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 27 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

  • Helping every client make the best hiring decisions possible
  • Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca):

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

  • Transcribe interviews
  • Summarize candidate responses
  • Generate job-related insights
  • Streamline communication and scheduling

Please note that:

  • The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.
  • The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

  • A technical interview
  • A coding challenge
  • A case study
  • A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection: +

Every candidate’s profile—including interviews, conversations, and assessments—is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate: +

At PTP, every candidate has the right to:

  • Request a non-AI interview path
  • Ask how your data is being used
  • Request access to transcripts or interview recordings
  • Request deletion of your AI-recorded interview
  • Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment: +

For more than 27 years, PTP has focused on putting people first—candidates, consultants, employees, and clients.

We’re committed to a hiring process that is:

  • Transparent
  • Compliant
  • Equitable
  • Powered by innovative technology that enhances—not replaces—human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We’re excited to learn more about you.

Equal Employment Opportunity: +

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.

DLP Platform Engineer

Details
  • Req No : 105685
  • Number of Position : 1
  • Priority : High
Location

Irving, TX 75063, USA

Employment Type
  • Work Authorization Status : greencard, h4ead, l2ead, opt, tnvisa, uscitizen

    Duration : 12 months

    Location : Onsite

Technical Profile
  • Position Title : DLP Platform Engineer
  • Professional Experience : 10
  • Primary Skills : Microsoft Purview DLP, Policy design, architecture, PCI DSS
  • Additional Notes : contract

Our Client is seeking a subject matter expert on DLP platform architecture, policy engineering, data classification, and sensitive data discovery. You’ll be responsible for protecting critical business and customer data at massive scale spanning thousands of endpoints, cloud workloads, and SaaS applications while keeping false positives low and signal quality high. If you’re passionate about data protection, enjoy the challenge of tuning complex policy frameworks, this role was built for you.

Key Responsibilities

DLP Platform Engineering & Administration

Own the end-to-end engineering, configuration, and operational health of Microsoft Purview DLP and other DLP platforms across endpoint, network, and cloud channels.

Design, deploy, and maintain DLP policies that protect sensitive data including payment card information, employee PII, financial records, and proprietary business data.

Continuously monitor, tune, and optimize DLP policies to maximize detection accuracy while aggressively reducing false positives.

Manage platform upgrades, feature rollouts, and capacity planning to ensure the DLP infrastructure scales with business growth.

Develop and maintain platform documentation, runbooks, and standard operating procedures.

Data Classification & Sensitive Data Discovery

Lead sensitive data discovery initiatives using Microsoft Purview’s classification and content inspection capabilities to identify where sensitive data resides across the enterprise.

Design and refine sensitive information types (SITs), trainable classifiers, and labeling policies tailored to the organization’s data landscape.

Partner with data governance, privacy, and compliance teams to ensure classification taxonomies align with regulatory requirements and business needs.

Conduct ongoing data discovery assessments to identify emerging data risk and ensure newly created repositories and workflows are covered by DLP controls.

Integration & Collaboration

Integrate Microsoft Purview DLP with Microsoft Defender for Endpoint to extend data protection controls to managed devices across the enterprise.

Ensure DLP alerts and events flow into the organization’s SIEM platform for centralized visibility, correlation, and incident investigation.

Leverage ServiceNow for incident tracking, workflow automation, and integration with the broader security operations and IT service management ecosystem.

Collaborate with Security Operations, Incident Response, and Insider Threat teams to investigate and respond to DLP-triggered events.

Partner with cloud engineering, endpoint management, and application teams to ensure DLP coverage extends to new technologies and business initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Cybersecurity, or a related discipline is required; alternatively, four years of cybersecurity experience along with an active CISSP or CISM certification will also be considered.

5+ years of progressive experience in data loss prevention, data protection, or a closely related security engineering discipline.

Hands-on experience engineering and administering Microsoft Purview DLP (or legacy Microsoft 365 DLP / Microsoft Information Protection).

Strong expertise in DLP policy design, tuning, and false positive reduction across endpoint, network, and cloud DLP channels.

Practical experience with data classification frameworks, sensitive information types, and automated labeling in a Microsoft 365 environment.

Experience integrating DLP platforms with SIEM solutions and ITSM tools such as ServiceNow.

Excellent analytical and troubleshooting skills with the ability to diagnose complex policy behavior and platform issues.

Strong communication skills with the ability to translate data protection concepts for technical and non-technical stakeholders.

Preferred Qualifications

CDPSE (Certified Data Privacy Solutions Engineer), Microsoft SC-400 (Information Protection Administrator Associate) certification, AZ-500 (Azure Security Engineer).

Experience in large-scale retail, convenience store, fuel, or payment processing environments.

Familiarity with PCI DSS, state privacy regulations, or other data protection compliance frameworks.

Rate: $60-70/hr ( depends on experience). This is a contract opportunity with candidates expected to work 40 hours a week. Candidates should be willing to work on W2 only .

About Us

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 27 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

  • Helping every client make the best hiring decisions possible
  • Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca):

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

  • Transcribe interviews
  • Summarize candidate responses
  • Generate job-related insights
  • Streamline communication and scheduling

Please note that:

  • The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.
  • The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

  • A technical interview
  • A coding challenge
  • A case study
  • A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection: +

Every candidate’s profile—including interviews, conversations, and assessments—is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate: +

At PTP, every candidate has the right to:

  • Request a non-AI interview path
  • Ask how your data is being used
  • Request access to transcripts or interview recordings
  • Request deletion of your AI-recorded interview
  • Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment: +

For more than 27 years, PTP has focused on putting people first—candidates, consultants, employees, and clients.

We’re committed to a hiring process that is:

  • Transparent
  • Compliant
  • Equitable
  • Powered by innovative technology that enhances—not replaces—human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We’re excited to learn more about you.

Equal Employment Opportunity: +

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.

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