BigID Engineer

📍 Location: Charlotte, NC

🎯 Typical Experience Level

3–7 years of experience in data security, data governance, or data privacy.

📝 Brief Description

• A BigID Engineer specializes in deploying, configuring, and managing the BigID Data Intelligence platform to discover, classify, and protect structured and unstructured data across cloud and hybrid environments.
• Responsible for ensuring regulatory compliance (GDPR, CCPA) and strengthening data governance by developing automation scripts, custom connectors, and API integrations, typically requiring 3+ years of experience in data security or privacy.

🔑 Key Responsibilities

⚙️ Platform Deployment & Configuration

• Install, configure, and maintain BigID solutions, including scanners, classifiers, and data connectors.

🔍 Data Discovery & Classification

• Implement policies to identify, map, and classify sensitive data (PII, PHI) across diverse storage systems such as cloud, SaaS, and databases.

📜 Governance & Compliance

• Align data protection strategies with regulatory frameworks including GDPR, CCPA, and HIPAA.

🤖 Automation & Integration

• Develop custom workflows, API integrations, and automation scripts (e.g., Python) to improve performance and streamline data governance tasks.
• Integrate BigID with enterprise security tools such as:
• 🔐 SIEM platforms
• 🗂️ Data governance tools
• 👤 Identity management systems
• 🎫 Ticketing systems

🛠️ Troubleshooting & Maintenance

• Resolve platform performance issues, fine-tune classification accuracy, and manage ongoing system updates.

🤝 Collaboration

• Work closely with security, privacy, and IT teams to implement data protection controls and generate compliance reports.

✅ Required Skills and Qualifications

🧠 Technical Expertise

• Strong proficiency with BigID platform capabilities, including data cataloging, policy creation, and API usage.

☁️ Cloud Proficiency

• Solid understanding of cloud environments such as AWS, Google Cloud Platform (Google Cloud Platform), and Microsoft Azure.

🔐 Data Security Knowledge

• Experience with data classification techniques, sensitive data discovery, Regex, and ML-based pattern generation.
• Familiarity with Data Loss Prevention (DLP) and strong understanding of privacy and compliance regulations (GDPR, CCPA, etc.).

💻 Technical Skills

• Hands-on experience with Linux environments, containerization (Docker, Kubernetes), and SQL/NoSQL databases.

🎓 Education

• Bachelor’s degree in Computer Science, Information Security, or a related field.