Senior Data Security Engineer, Big ID Deployment Lead

Jersey, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Platform Management: Install configure and maintain the BigID platform across development (DEV) quality assurance (QA) and production (PROD) environments ensuring optimal performance and stability.
Data Governance & Compliance: Implement and enforce data governance policies overseeing data classification sensitivity labeling data remediation (masking/redaction) and ensuring strict adherence to data privacy regulations (GDPR CCPA HIPAA) and internal controls.
Technical Leadership & Architecture: Guide the overall architecture design and execution of data solutions ensuring scalability performance and alignment with enterprise data strategy.
Operations & Support: Manage the onboarding of new data sources validate scan results troubleshoot technical issues and optimize data pipelines (using technologies like Spark and Hadoop).
Cross-Functional Collaboration: Work closely with data scientists data engineers product managers and business stakeholders to meet diverse data needs and drive platform adoption across the enterprise.
Development & Integration: Support and manage API integrations develop necessary scripting (Python Shell) and leverage cloud services (AWS GCP) for platform expansion and integration with other tools (e.g. Alation).

Core Skills & Qualifications

BigID Expertise: Proven hands-on experience with the BigID platform covering configuration deployment and operational management.
Data Governance & Security: Deep understanding of data privacy principles data security best practices and compliance frameworks.
Cloud & Big Data Technologies: Experience with major cloud platforms (AWS GCP) and data processing tools (Spark Hadoop).
Technical Proficiency: Proficiency in scripting languages (Python Shell)

Key Responsibilities Platform Management: Install configure and maintain the BigID platform across development (DEV) quality assurance (QA) and production (PROD) environments ensuring optimal performance and stability. Data Governance & Compliance: Implement and enforce data governance polici...