Application Engineer - BigID exp - Banking - Direct Client - Remote

• 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.

Required Skills & Qualifications:

• 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.

Preferred Qualifications:

• Experience with scripting languages such as Python or Shell.
• Prior experience working in data privacy or security-focused projects.