BigID Engineer

Job Title: BigID Engineer

Location: Charlotte NC

Salary: $130- $135K

Work Model: 100% Onsite (No Hybrid)

Visa: H1B Transfer acceptable (HIB Visa validity must be minimum 18 24 months)
and Visa Independent holder is always preferred.

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 (GCP) 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

• Bachelors degree in Computer Science Information Security or a related field.