Cloud Engineer - Enterprise Data Security (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Engineer - Enterprise Data Security in United States.

This role offers the opportunity to strengthen enterprise data security across cloud and on-premises environments. You will be responsible for implementing, managing, and optimizing data loss prevention (DLP) solutions and data security platforms to protect sensitive information. The position involves close collaboration with IT, security, and business teams, driving compliance, risk mitigation, and data privacy initiatives. You will act as a subject matter expert for DLP tools, cloud security frameworks, and data governance standards, providing guidance on policy implementation, incident response, and performance optimization. This fully remote role allows you to influence the security posture of enterprise systems while mentoring team members and contributing to the evolution of security practices across the organization.

Accountabilities:

• Architect, implement, and manage enterprise-grade DLP solutions to safeguard sensitive data.
• Support data discovery, classification, and mapping across systems to ensure regulatory compliance.
• Maintain and optimize data privacy platforms for DSAR workflows, opt-outs, cookie/GPC compliance, and enterprise integrations.
• Collaborate with IT, Security, GRC, and business teams to define data protection strategies and remediate compliance gaps.
• Serve as the escalation point for high-severity data security issues and inquiries.
• Analyze and investigate alerts from DLP and related security systems, providing actionable insights to executive partners.
• Develop and maintain incident response playbooks, policies, sensitivity labels, and DLP rule sets across platforms.
• Mentor, train, and provide guidance to junior associates on data security practices and technologies.
• Monitor system performance, optimize workflows, and ensure seamless integration of security platforms.
• Maintain strong vendor relationships and stay current with emerging trends, tools, and best practices in enterprise data security.

• Minimum of 3 years of experience in data security, privacy, or DLP-focused roles.
• BA/BS degree preferred in a relevant field.
• Hands-on experience with data privacy platforms (e.g., Securiti, BigID, OneTrust).
• Proficiency with Microsoft Purview DLP, Azure Information Protection, and Microsoft Defender for Cloud Apps.
• Experience with cloud computing platforms such as AWS, Azure, Oracle Cloud, or GCP.
• Familiarity with scripting and automation using PowerShell, Python, or similar tools.
• Strong proficiency with Office 365 applications, including Outlook, Teams, Excel, PowerPoint, and Word.
• Excellent problem-solving, organizational, and communication skills.
• Experience mentoring and upskilling junior team members.
• Ability to manage multiple priorities, work independently, and collaborate across functions.

• Competitive compensation and bonus eligibility.
• Core benefits including medical, dental, vision, and 401(k) with company match.
• Flexible work environment: fully remote, hybrid, or in-office options.
• Paid time off, vacation, sick leave, volunteer time, and 12 paid holidays.
• Inclusive benefits including mental health coverage, family building support, paid parental leave, and associate discounts.
• Opportunities for professional growth, mentoring, and skill development in enterprise security and cloud technologies.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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