Bjakcareer Data Privacy Security Engineer protects BJAK's sensitive customer and business data across products and platforms. They partner with multiple teams to apply privacy-by-design principles and reduce data risks.
Responsibilities
Protect BJAK's sensitive customer and business data across products, data platforms, and third-party services. Partner with Data, Engineering, Product, Legal, and Compliance to apply privacy-by-design and reduce risks.
What You Will Build
Protect sensitive data across collection, processing, storage, sharing, retention, and deletion.
Map data flows and assess privacy and security risks across applications, analytics, integrations, and third-party providers.
Implement encryption, tokenization, masking, anonymization, retention, and least-privilege data access controls.
Work with data engineering teams to secure pipelines, databases, warehouses, and cloud data services on AWS and GCP.
Assess customer data shared with third-party AI model vendors and define minimization, approved use, retention, and access controls.
Own data and privacy controls for SC TRM and BNM RMiT, including assessments, evidence, remediation, and audit support.
Support privacy impact assessments, access reviews, monitoring, incident response, and privacy-by-design reviews.
What We Look For
Degree in Computer Science, Information Security, Data Engineering, or related field, or equivalent experience.
3+ years in data security, privacy engineering, security engineering, or data platform engineering.
Qualification
Degree in Computer Science3+ years in data securityUnderstanding of privacy-by-designKnowledge of encryptionExperience securing databasesFamiliarity with AI vendor data flows
Required
Degree in Computer Science, Information Security, Data Engineering, or related field, or equivalent experience
3+ years in data security, privacy engineering, security engineering, or data platform engineering
Experience implementing and owning SC TRM and BNM RMiT controls relevant to data protection and technology risk
Understanding of privacy-by-design, data classification, retention, access management, and third-party data sharing
Knowledge of encryption, key management, masking, tokenization, anonymization, and secure data processing
Experience securing databases, data pipelines, and AWS or GCP data platforms
Preferred
Familiarity with AI vendor data flows
Familiarity with applicable privacy and security frameworks