Data Security Engineer

Skechers
Manhattan Beach, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$125,000.0 - $165,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Software as a Service Cloud Computing Collaborative Software Cyber Security Databases Data Discovery Data Integration Data Security
+11 more
Information Security Management Python (Programming Language) Machine Learning Windows PowerShell Security Information and Event Management Data Streaming Systems Integration Unstructured Data Scripting Google Cloud Cloud Platform System

Job description

As a key member of the global cybersecurity team, the Data Security Engineer is responsible for designing, implementing, and maintaining the enterprise’s data protection controls and platforms. This hands-on technical role focuses on securing sensitive data across cloud and on-prem environments through data discovery, classification, DLP, DSPM, AI and anonymization technologies.

This is an ideal opportunity for a data-focused security engineer who brings curiosity, precision, and a continuous improvement mindset to building scalable, effective defenses that protect our most valuable data assets.

WHAT YOU’LL DO:

  • Configure, deploy, and maintain Data Loss Prevention (DLP)andData Security Posture Management (DSPM)tools across cloud, endpoint, and collaboration platforms.
  • Implement technology to discover, classify, and tag structured and unstructured data across databases, file repositories, and SaaS environments.
  • Develop and tune DLP and DSPM policies using data-driven insights to reduce false positives and improve detection fidelity.
  • Design and apply technical controls for secure data transmission, storage, and anonymization in alignment with organizational standards.
  • Drive continuous process improvement by identifying opportunities to leverage AI and automation in data discovery, classification, and protection workflows.
  • Support data discovery and mapping initiatives to ensure visibility of sensitive and regulated data across systems.
  • Integrate data protection technologies with SIEM/SOAR platforms to enable automated alerting, orchestration, and continuous process optimization of incident response workflows.
  • Assist in the investigation and remediation of data-related security incidents, including data exfiltration or insider threat cases.
  • Collaborate with Cloud, Application, Identity, and Infrastructure teams to embed data security by design into enterprise systems and services.
  • Contribute to developing and maintaining data security standards, processes, and technical documentation.
  • Stay current on emerging data protection technologies, privacy regulations, and best practices to continuously evolve controls and detection logic

Requirements

  • Hands-on experience implementing and managing data security tools across cloud, endpoint, and SaaS environments.
  • Strong understanding of data protection principles, including data discovery/classification, encryption, masking, anonymization, and secure data transmission and storage.
  • Familiarity with integrating data security controls with monitoring platforms and supporting incident response activities related to data exfiltration or misuse.
  • Working knowledge of cloud environments (AWS, Azure, Google Cloud Platform) and how data flows, access controls, and storage mechanisms operate in hybrid architectures.
  • Proficiency with scripting or automation tools (Python, PowerShell, etc.) to support data protection workflows, integrations, and policy management.
  • Experience applying automation and AI/ML techniques to improve security operations, reduce manual processes, and enhance decision-making.
  • Strong analytical, troubleshooting, and problem-solving skills with high attention to detail and accuracy.
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly to varied audiences.
  • Ability to collaborate effectively across global teams, build strong working relationships, and operate in a fast-paced, dynamic environment.
  • Demonstrated commitment to continuous learning and staying current with emerging data security technologies and threats.

REQUIREMENTS:

  • 5+ years of experience in cybersecurity, information security, or data protection roles.
  • Experience implementing enterprise DLP or DSPM solutions in cloud and hybrid environments.
  • Professional certifications such as CISSP, CISM, GIAC strongly preferred., To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions.

About the company

Skechers, a global Fortune 500 company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.

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