Enterprise Cybersecurity BigID Engineer

The Opportunity:

Leverage BigID’s AI-powered data security platform to discover, classify, and protect sensitive data across cloud, on-premises, and AI environments, implementing advanced data loss prevention (DLP) strategies to address unauthorized exfiltration risks and support compliance with standards like the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and the National Institute of Standards and Technology (NIST). Drive execution of zero-trust frameworks using BigID integrations with tools such as Microsoft Purview. Collaborate with cross-functional teams to ensure the scalability and maturity of the organization’s DLP program. Due to the nature of work performed within this facility, U.S. citizenship is required.

You Have:

• 3+ years of experience in DLP engineering or data security
• Experience in cybersecurity tools, such as Microsoft Purview, Trellix, and Tenable
• Experience in scripting languages such as Python for workflow automation and integration
• Experience in supporting the development and tuning of DLP policies to reduce false positives and mitigate data leakage scenarios
• Ability to collaborate with cross-functional teams to mature DLP programs and train stakeholders on using BigID dashboards and tools
• Bachelor’s degree
• Cybersecurity certifications, including CISSP or CISM, or DLP certifications such as Microsoft DLP

Nice If You Have:

• Experience deploying and configuring BigID for data discovery, classification of structured and unstructured data, and mapping across various systems
• Experience with military-grade compliance requirements a plus
• Experience with creating playbooks for incident response, performing governance audits, and designing scalable data protection strategies in hybrid environments
• Knowledge of managing DLP ecosystems, including integration across endpoints, networks, and SaaS environments
• Knowledge of complex compliance and privacy frameworks, including execution of both technical and organizational solutions
• Possession of strong analytical skills for assessing data risks

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.