Data Engineer – AI & Data Governance

Maganti IT Resources, LLC; Ohio; Remote; USD 140,000 - 190,000; Full time

Job summary

Maganti IT Resources, LLC is seeking a Data Engineer specializing in AI-enabled data solutions, governance, and legacy platforms. The role focuses on data discovery, classification, and integrating mainframe data with modern platforms across on-premises and cloud environments.

The ideal candidate will have hands-on Purview, BigID, and Varonis experience, along with strict adherence to data privacy requirements and collaboration with security and compliance teams in a remote setting.

Qualifications

• 14+ years of data engineering, data integration, or enterprise data management.
• Hands-on Purview experience including governance, cataloging, metadata management, or lineage.
• Experience with BigID and/or Varonis in discovery, privacy, or sensitive data management.
• Experience with legacy platforms including mainframe environments SV2 and call-recording data.
• Strong 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 and AI-assisted discovery with human validation.
• Knowledge of retention policies, CCPA, legal holds, and enterprise privacy requirements.
• Ability to support security reviews and document data flows and governance.

Responsibilities

• Design and maintain scalable data pipelines across on-premises and cloud sources.
• Implement data governance, cataloging, metadata management, lineage, and classification using Purview, BigID, and Varonis.
• Support AI-assisted data discovery workflows with human validation.
• Work with legacy platforms and mainframe environments (SV2) and call-recording data.
• Integrate legacy sources with modern data platforms and cloud environments.
• Support retention, legal holds, and enterprise privacy controls.
• Prepare data for AI/ML initiatives with high data quality and reliable pipelines.
• Collaborate with data architects, AI/ML engineers, security teams, and business partners.
• Document data architectures, governance processes, integration workflows, and technical solutions.
• Prepare for security reviews by detailing data flows and access controls.

Skills

ETL/ELT

Data governance

Data integration

AI/ML data requirements

Data quality

Troubleshooting

Security documentation

Collaboration

Tools

Microsoft Purview

BigID

Varonis

Job description

Job Description: Data Engineer – AI, Data Governance & Legacy Platforms

Experience: 14+ Years

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

Job Summary

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.

Key Responsibilities

• 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.

Required Skills and Qualifications

• 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.

Preferred Qualifications

• 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.

Preferred Location

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