Senior Data Security Engineer

Hybrid in Philadelphia, PA, US • Posted 26 days ago • Updated 26 days ago
Full Time
Occasional Travel Required
Hybrid
Depends on Experience
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Job Details

Skills

  • Big Data
  • Amazon Web Services
  • API
  • Apache Hadoop
  • Apache Spark
  • Cloud Computing
  • Cloud Security
  • Collaboration
  • Data Governance
  • Data Processing
  • Data Security
  • Operations Management
  • Internal Control
  • IT Management
  • HIPAA
  • HATS
  • Google Cloud Platform
  • Python
  • Shell
  • Scripting
  • Quality Assurance

Summary

Senior Data Security Engineer

Introduction:

This role will wear two hats to lead the BIG ID install on AWS/ Integration and perform Cloud Security Architecture.

Big ID:

The BigID Platform Lead is responsible for the end-to-end management, deployment, configuration, and operation of the BigID data intelligence platform. This pivotal role ensures the platform effectively supports the organization's data discovery, classification, governance, and privacy compliance needs (including GDPR, CCPA, and HIPAA). The lead guides technical teams, drives platform adoption, and serves as the primary liaison between technical staff and governance initiatives.

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, Google Cloud Platform) for platform expansion and integration with other tools (e.g., Alation).

Requirements:

  • 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, Google Cloud Platform) and data processing tools (Spark, Hadoop).
  • Technical Proficiency: Proficiency in scripting languages (Python, Shell).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91124934
  • Position Id: 8878796
  • Posted 26 days ago

Company Info

About Teceze Ltd

TECEZE is an IT Service Provider across all public and private sectors. We offer a full spectrum of Information Technology services. We help you harness the power of emerging technologies while getting the most out of your legacy IT.


Our clients benefit from a true 24/7 support service operation, the expanded technical resources of our team, and the faster service delivery at low cost.


Through an elite team of courteous and responsive professionals, our mission is to deliver an unrivalled service experience.
We are committed to building long-term relationships with our clients. We are partners for a better future.

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