This role is office-based in Mexico. The role requires professional fluency in English (spoken and written).

Inmar is a progressive technology company headquartered in North Carolina. We help leading Fortune 5000 companies and emerging brands stay relevant and propel growth, while providing their consumers with personalized and precision-driven tools to save money, improve health and safety, and go about their lives more conveniently.

As a trusted intermediary for over 40 years, we've helped retailers, manufacturers, healthcare providers, governments, and employers redefine innovation. Our data platforms have unmatched, real-time access to billions of consumer and business transactions that enable optimized engagement with shoppers, patients and partners.

ABOUT THE DATA GOVERNANCE TEAM

The Data Governance team provides enterprise-wide oversight and enablement to ensure data is properly classified, documented, trusted, secure, and used responsibly.

ABOUT YOU

You are a senior data engineer who believes governance is a core engineering responsibility. You understand that scalable analytics, AI, and compliance depend on strong foundations: clear ownership, reliable metadata, lineage, quality controls, access discipline, and cost transparency.

PRIMARY ACCOUNTABILITIES

Governance Enablement & Automation
• Design, build, and maintain scalable automated frameworks that enforce data governance policies and standards.
• Embed governance controls into data pipelines, platforms, and workflows.
• Identify governance gaps and deliver AI-enabled automated solutions.

Metadata, Cataloging & Lineage
• Lead implementation and enforcement of enterprise metadata standards.
• Lead automated lineage capture, validation, and reporting.
• Serve as a technical subject matter expert for metadata, cataloging, and lineage capabilities.

Data Classification & Sensitive Data Controls
• Design and refine automated sensitive data detection and classification workflows.
• Validate scan results and ensure classifications are applied consistently.
• Partner with Privacy and Security teams to operationalize governance controls.

Access Controls & Cost Transparency
• Support implementation and auditing of RBAC and least-privilege standards.
• Design and maintain governance reporting.
• Improve cloud cost accountability through tagging and ownership alignment.

Technical Leadership & Team Collaboration
• Establish engineering standards and governance patterns.
• Mentor engineers through reviews and design guidance.
• Lead complex initiatives end-to-end.

EDUCATION / QUALIFICATIONS / EXPERIENCE

Required
• Bachelor's degree in a related field or equivalent practical experience (6–8+ years).
• Advanced experience with Python.
• Strong expertise in SQL and large datasets.
• Experience with cloud data pipelines, Airflow, dbt, or similar tools.
• Experience implementing governance capabilities across cloud environments.
• Proficiency with Git/GitHub, CI/CD, and infrastructure-as-code.
• Deep understanding of metadata, lineage, data quality, classification, access controls, and ownership.

Preferred / Nice to Have
• Experience with Dataplex, Data Catalog, DLP, BigID, or similar tools.
• Exposure to CCPA, HIPAA, and other privacy frameworks.
• Experience defining governance standards at enterprise scale.
• Prior mentoring or technical leadership experience.

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