Data Security Engineer

Paymentus Group IncRichmond Hill, ON
Onsite

About The Position

Paymentus is seeking a Data Security Engineer to join our Cyber Security team with a strong focus on Data Loss Prevention (DLP) and Data Security Posture Management (DSPM). This role will be instrumental in implementing and scaling DSPM capabilities, while also helping mature and operationalize the DLP program across the organization. You will work across cloud and SaaS environments to ensure sensitive data is properly discovered, classified, monitored, and protected throughout its lifecycle.

Requirements

  • 4–7+ years of experience in data security, DLP, or related cybersecurity roles.
  • Hands-on experience with DLP technologies (preferably Cyberhaven or similar tools).
  • Experience implementing or working with DSPM solutions.
  • Strong understanding of data classification, data lifecycle, and data protection strategies.
  • Experience in cloud and SaaS environments (e.g., AWS, Azure, GCP, Office365, Google Workspace).
  • Experience with security tool integration (SIEM, APIs, automation tools).
  • Scripting or automation experience (e.g., Python, PowerShell, or similar).
  • Strong analytical and troubleshooting skills with a focus on root cause analysis.
  • Has a good understanding of security concepts and interested in further developing security skills.
  • Has an automation mindset.
  • Capable of working in a fast-paced environment, adapting to changing priorities.
  • Self-starter with an appreciation for technical challenges and complex problems.
  • Focused and detail-oriented.
  • Able to work independently and as part of a multidiscipline team.

Nice To Haves

  • Familiarity with identity platforms (e.g., Okta) and basic IAM concepts.
  • Experience with cloud email DLP (Office365, Google Workspace).
  • Knowledge of DSPM best practices and frameworks.
  • Understanding of compliance frameworks (PCI-DSS, HIPAA, GDPR, SOC 2).
  • Relevant certifications (e.g., CISSP, CISM, or similar).

Responsibilities

  • Enhance and mature the organization’s DLP program, improving coverage, accuracy, and effectiveness.
  • Develop and fine-tune DLP policies to monitor and protect data in-use, in-transit, and at-rest.
  • Configure and optimize DLP tools to reduce false positives and improve detection fidelity.
  • Build and maintain incident response workflows for DLP alerts and data policy violations.
  • Partner with SOC and other teams to investigate and respond to data security incidents.
  • Define metrics, dashboards, and reporting to track DLP program effectiveness and maturity.
  • Lead or support the implementation of DSPM solutions across cloud and SaaS environments.
  • Identify, classify, and map sensitive data across systems (structured and unstructured).
  • Establish data inventory and data flow visibility to understand how sensitive data moves across the organization.
  • Continuously assess and reduce data exposure risks (over-permissioned data, shadow data, unused sensitive data).
  • Integrate DSPM insights into DLP controls and broader security operations.
  • Design and implement scalable data protection architectures across SaaS, cloud, and endpoint environments.
  • Integrate DLP and DSPM tools with SIEM/SOAR platforms for automated detection and response.
  • Develop scripts or automation to improve policy enforcement, alert triage, and reporting.
  • Troubleshoot and resolve issues related to performance, reliability, and coverage of data security tools.
  • Support compliance initiatives such as PCI-DSS, SOC 2, GDPR, and other data protection standards.
  • Assist in defining and maintaining data protection policies, standards, and procedures.
  • Provide audit support and documentation for internal and external security assessments.
  • Act as a subject matter expert (SME) for data security and data protection best practices.
  • Work with engineering, product, legal, and business teams to ensure secure handling of sensitive data.
  • Provide guidance, training, and awareness on data protection best practices.
  • Promote a security-first and automation-driven mindset across teams.
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