Big ID engineer.

Big ID engineer.

Job Type: Contract

Location: Remote 

Key Responsibilities

• Lead the installation, deployment, and configuration of the BigID platform across enterprise environments.
• Configure data sources, scanners, connectors, and discovery jobs to support data identification and classification initiatives
• Implement and maintain BigID modules and capabilities aligned with business and security requirements
• Integrate BigID with enterprise systems, databases, cloud platforms, and security tools.
• Troubleshoot and resolve platform, connectivity, and performance issues.
• Support data classification, data inventory, data governance, and privacy compliance initiatives.
• Collaborate with infrastructure, cybersecurity, IAM, and application teams to ensure successful platform implementation.
• Perform system upgrades, patches, and configuration changes following established change management processes.
• Develop and maintain technical documentation, deployment guides, and operational procedures.
• Monitor platform health, performance, and capacity utilization.
• Participate in testing activities, including system integration testing and user acceptance testing.
• Provide technical expertise and operational support during project and post-production phases.
• Assist in identifying opportunities for automation and process improvements within the BigID environment.
• Support audit, compliance, and regulatory requirements related to data governance and privacy.

Required Skills & Experience

• Strong experience in deploying and administering BigID solutions.
• Hands-on experience with BigID installation, configuration, and troubleshooting.
• Knowledge of data discovery, classification, metadata management, and data governance concepts.
• Experience integrating enterprise applications, databases, and cloud platforms.
• Familiarity with Linux and Windows server administration.
• Understanding of network, security, and infrastructure principles.
• Experience working with SQL and relational databases.
• Knowledge of REST APIs and system integrations.
• Experience supporting large-scale enterprise implementations.
• Strong analytical, troubleshooting, and problem-solving skills.