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iFood

Senior Data Security Engineer

iFood

Senior Data Security Engineer at iFood specializing in data protection and security protocols. Responsible for implementing and operating data security controls for corporate data.

Posted 7/29/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Loss Prevention (DLP) policies and tools, with a strong focus on data classification, incident investigation, and compliance with regulatory frameworks such as LGPD and GDPR. Proficient in monitoring and enhancing security configurations of SaaS platforms while utilizing AI tools to optimize DLP processes and alert management.

Highest-signal resume keywords
DLP Tools ExperienceData Classification KnowledgeIncident Investigation SkillsSaaS Security HardeningRegulatory Frameworks Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
DLP Policy ManagementData ClassificationIncident InvestigationSaaS Security HardeningAI Tool UtilizationData Exposure AnalysisSecurity Configuration MonitoringDocument Retention ComplianceBehavioral AnalyticsSensitive Data Mapping
Soft Skills
Detail-OrientedAnalyticalAutonomousOrganizedCollaborative
Tools & Technologies
Google WorkspaceSalesforceDatabricksSlackNetskopeZscaler
Industry Keywords
LGPDGDPRPCI-DSSBACENData Exposure Incidents

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Operate and fine‑tune DLP policies for endpoints, cloud applications, and communication channels — reducing false positives while maintaining effective detection coverage.
  • Investigate DLP alerts and data exposure incidents: correlate signals, assess severity, and contribute findings to CSIRT investigations.
  • Support the implementation and enforcement of data classification policies and data-handling procedures for internal users and third parties.
  • Monitor and strengthen security configurations of corporate SaaS platforms: Google Workspace, Salesforce, Databricks, Slack, and similar tools.
  • Support the enforcement of Document Retention & Disposal policies — ensuring corporate data is retained, archived, and disposed of in compliance with LGPD, GDPR, and internal requirements.
  • Monitor insider-threat indicators and contribute to behavioral-analytics rules that detect anomalous data access or movement.
  • Support the enforcement of device posture policies — ensuring only compliant devices access corporate systems.
  • Participate in Sensitive Data Mapping initiatives — helping to identify, catalog, and classify sensitive data assets in corporate and production environments.
  • Use AI tools to improve DLP policy quality, accelerate alert triage, and identify patterns in data exposure events.
  • Create and maintain operational metrics on alert volumes, policy violations, false-positive rates, and remediation progress.
  • Document findings, decisions, and processes clearly to support team knowledge and operational continuity.

Requirements

What you’ll need
  • Hands-on experience with DLP tools and policies in corporate and production environments.
  • Knowledge of data classification concepts and how to apply them in practice.
  • Experience investigating data exposure incidents and correlating signals from multiple sources.
  • Familiarity with SaaS security hardening (Google Workspace, Salesforce, or similar).
  • Knowledge of regulatory frameworks: LGPD, GDPR, PCI-DSS, BACEN, among others.
  • Experience using AI tools to accelerate investigations, reduce noise, or automate repetitive security tasks.
  • Detail-oriented and analytical: ability to trace a data exposure signal to its root cause.
  • Autonomous and well-organized: ability to manage own work, escalate when necessary, and document findings clearly.
  • Collaborative: works well with CSIRT, IT, Legal, engineering teams, and other stakeholders.
  • Advanced English (required).
  • Experience with SASE platforms (Netskope, Zscaler) or similar is a plus.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development