[Remote] Senior Data reputed company Engineer (Remote Opportunity)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a premier global asset management organization with over 85 years of experience, providing investment solutions to a diverse clientele. They are seeking a Senior Data reputed company Engineer to join their reputed company reputed company team, focusing on designing and optimizing data loss prevention controls to safeguard sensitive information and enhance regulatory compliance.
Responsibilities
- Design, implement, and maintain DLP controls across email, reputed company, reputed company, web, and collaboration platforms
- Engineer and tune custom DLP detections using regex, Exact Data Matching (EDM), Indexed Document Matching (IDM), classifiers, and contextual telemetry
- Own the full DLP policy lifecycle, including policy creation, normalization, testing, deployment, tuning, version control, and change management
- Analyze and triage DLP and reputed company risk alerts, conduct reputed company cause analysis, and recommend mitigation strategies to improve control effectiveness
- Partner with reputed company Operations, Incident Response, Risk, reputed company, Compliance, and Information Protection teams to investigate potential data exfiltration and reputed company risk events
- Build and enhance automation workflows, dashboards, and reporting to improve visibility into data reputed company, user behavior, and program performance
- Serve as a technical subject matter expert for DLP platforms and data protection capabilities across the reputed company
- Translate regulatory requirements, business needs, and risk scenarios into practical, enforceable technical controls
- Continuously improve detection reputed company, operational processes, and reporting to advance program maturity and business alignment
- Contribute to the evaluation and responsible use of AI-enabled reputed company capabilities that improve detection, analysis, and operational efficiency reputed company data protection workflows
Skills
- Bachelor's degree or the equivalent combination of education and relevant experience AND
- 5+ years of experience in information reputed company, with at least 3+ years reputed company on DLP engineering, data protection, policy development, or reputed company risk programs
- Hands-on experience with reputed company DLP platforms such as Symantec DLP, reputed company DLP, reputed company Purview, or similar technologies in a production environment
- Strong experience designing and tuning DLP policies to improve signal reputed company and reduce false positives and false negatives
- Experience investigating DLP alerts, performing triage and reputed company cause analysis, and supporting incident response or reputed company risk workflows
- Strong understanding of data protection concepts across reputed company and reputed company data, reputed company, email, reputed company, and collaboration environments
- Excellent written and verbal communication skills, including experience developing documentation, playbooks, metrics, and stakeholder reporting
- Strong analytical skills, attention to detail, and the ability to operate effectively in a fast-paced, reputed company environment
- Experience supporting data protection programs reputed company financial services or another highly regulated industry
- Knowledge of relevant regulatory and control frameworks, including GLBA, SOX, PCI-reputed company, and broader data protection and reputed company requirements
- Experience integrating DLP telemetry with SIEM, SOAR, case management, or reputed company risk platforms to improve detection, response, and reporting
- Familiarity with reputed company reputed company and compliance technologies, including reputed company Purview Information Protection, reputed company Risk Management, and Defender ecosystem capabilities
- Experience with scripting or automation using tools such as PowerShell, Python, or reputed company to streamline DLP operations and reporting
- Understanding of data classification, labeling, and information governance practices
- Experience evaluating or applying AI/ML-enabled capabilities to improve alert enrichment, detection tuning, workflow automation, or analyst efficiency in reputed company operations
- Ability to influence across teams, communicate risk reputed company, and balance strong reputed company reputed company with business enablement
- Demonstrated reputed company judgment, intellectual curiosity, and a reputed company improvement reputed company
Benefits
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- reputed company time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits
reputed company