Data Engineer – AI & Data Governance

Experience: 14+ Years

Location: Remote (Candidates based in Columbus, OH, preferred)

We are seeking an experienced Data Engineer with strong expertise in data engineering, AI-enabled data solutions, data governance, and enterprise data management.
The ideal candidate will have hands-on experience with Microsoft Purview, BigID, Varonis, and legacy platforms
, including mainframe systems. The candidate should support data discovery, classification, lineage, governance, integration, and AI-driven data initiatives across modern and traditional enterprise systems.

• Design, develop, and maintain scalable data engineering and integration pipelines across on-premises and cloud sources.
• Implement data governance, cataloging, metadata management, lineage, and classification using Microsoft Purview, BigID, and Varonis.
• Support AI-assisted data discovery workflows with human validation to improve accuracy and reliability.
• Work with legacy enterprise platforms, including mainframe environments (SV2), legacy systems, and call-recording data.
• Integrate legacy sources with modern data platforms and cloud environments.
• Support retention requirements, CCPA, legal holds, and enterprise privacy and compliance controls.
• Prepare and manage data for AI/ML initiatives, ensuring data quality and reliable pipelines.
• Collaborate with data architects, AI/ML engineers, security teams, compliance stakeholders, and business partners.
• Prepare for security reviews by documenting data flows, access controls, governance processes, and compliance evidence.
• Troubleshoot pipeline issues and improve data quality, performance, scalability, and reliability.
• Document data architectures, governance processes, integration workflows, and technical solutions.

• 14+ years of experience in data engineering, data integration, or enterprise data management.
• Hands-on Microsoft Purview experience, including the Microsoft 365 boundary, governance, cataloging, metadata management, or lineage.
• Practical BigID and/or Varonis experience in discovery, classification, privacy, or sensitive data management.
• Experience with legacy platforms, including mainframe environments such as SV2, and legacy or call-recording data.
• Strong understanding of ETL/ELT, transformation, and integration across on-premises and cloud sources.
• Experience with structured and unstructured data sources.
• Knowledge of data quality, metadata management, lineage, and enterprise data governance.
• Exposure to AI/ML data requirements, AI-ready engineering, and AI-assisted discovery with human validation.
• Knowledge of retention policies, CCPA, legal hold, and enterprise data privacy requirements.
• Ability to support security reviews and produce clear technical documentation.
• Strong analytical, troubleshooting, communication, and collaboration skills.

• Experience integrating mainframe data with modern data platforms.
• Knowledge of Azure, AWS, or Google Cloud.
• Familiarity with Python, SQL, and data processing frameworks.
• Experience with enterprise privacy, regulatory compliance, and sensitive data protection.
• Experience supporting AI/ML pipelines, generative AI, or enterprise AI initiatives.
• Experience operating large-scale pipelines across on-premises and cloud environments.
  
  Experience preparing for security reviews and maintaining reliable data pipelines.

Columbus, Ohio candidates are highly preferred. Remote candidates must be able to support the required collaboration and delivery schedule.