
Application Engineer BigID
- Ohio
- Permanent
- Full-time
- Design, develop, and maintain BigID integrations with enterprise systems (databases, cloud storage, data warehouses, APIs) for automated discovery and classification of sensitive data.
- Customize BigID data discovery policies, classifiers, and connectors to meet regulatory, privacy, and security requirements (e.g., GDPR, CCPA, HIPAA).
- Implement and optimize data discovery workflows using BigID's configuration tools, APIs, and scripting capabilities for scalability and performance.
- Develop and manage custom metadata enrichment rules to improve data context, tagging, and governance.
- Work closely with data governance, privacy, and security teams to align BigID solutions with business compliance frameworks.
- Troubleshoot and resolve technical issues related to BigID platform performance, data ingestion, classification accuracy, and connector reliability.
- Write and maintain technical documentation for BigID configurations, custom scripts, and integration patterns.
- Lead code reviews and mentor junior team members on BigID best practices, scripting, and API usage.
- Collaborate with BigID product support and vendor teams to escalate and resolve platform-level issues or request feature enhancements.
- Stay updated with BigID platform updates and emerging data privacy regulations, applying changes to maintain compliance and technical efficiency.
- Education: Bachelor's degree in computer science, Engineering, or related field, or equivalent
- Proven experience with BigID platform (development, configuration, deployment).
- Strong understanding of cloud technologies – primarily GCP and AWS.
- Knowledge of data classification, data governance, and privacy frameworks (e.g., GDPR, CCPA).
- Hands-on experience with data connectors, APIs, and cloud storage integrations.
- Familiarity with cloud basics, including IAM, networking, and storage fundamentals.
- Ability to work in an agile environment with minimal supervision.
- BigID Certification (extra credit).
- Experience with scripting languages such as Python or Shell.
- Prior experience working in data privacy or security-focused projects.