Sr. Engineer, Data (Data Governance Team)

Inmar Intelligence; Monterrey; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

Inmar Intelligence is seeking a senior data engineer who treats governance as a core engineering responsibility. You will design and implement scalable governance frameworks, embed controls into data pipelines, and lead initiatives to automate metadata, lineage, and data classification.

You will collaborate with Privacy and Security teams, guide engineers, and set standards for tagging, access controls, and cost transparency across cloud environments.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• Support implementation and auditing of RBAC and least-privilege standards.
• Design and maintain governance reporting.
• Improve cloud cost accountability through tagging and ownership alignment.
• Establish engineering standards and governance patterns.
• Mentor engineers through reviews and design guidance.
• Lead complex initiatives end-to-end.

Skills

Python

SQL

Cloud data pipelines

CI/CD

Education

Bachelor’s degree or equivalent practical experience

Tools

Airflow

dbt

Git/GitHub

Infrastructure as Code

Job description

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.

Recruitment Fraud Notice:

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