Back to SearchEnterprise Data Governance Architect
Remote in Mexico, Colombia
Data Solution Architecture& 7 others
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We are seeking an Enterprise Data Governance Architect to shape a scalable governance, cataloging, and security framework across a unified digital data ecosystem. You will partner with cross-functional teams to define stewardship, metadata, lineage, and quality standards that enable reliable analytics and compliant data sharing.
Responsibilities
- Define enterprise data governance frameworks, policies, and operating models for multi-country environments
- Architect metadata management, data cataloging, and automated data lineage capabilities
- Establish data quality metrics, monitoring rules, and stewardship workflows for trusted insights
- Align privacy compliance controls with security and legal stakeholders, including RBAC and cross-border data sharing
- Lead discovery workshops to assess data maturity, identify gaps, and define target-state roadmaps
- Coordinate with data engineering, analytics, architecture, and security teams to implement governance by design
- Advise stakeholders on scalable governance practices that enable secure, compliant analytics adoption
Requirements
- 5+ years of experience in enterprise data governance and operating model design
- Strong leadership skills to drive consensus and influence executive stakeholders
- Proven project delivery experience with multi-geo, cross-functional data programs
- Deep technical expertise in DAMA-DMBOK-aligned governance frameworks, metadata management, and data stewardship
- Hands-on cloud platform knowledge with Amazon Web Services and modern data stack architectures
- Strong consulting skills in workshop facilitation, stakeholder management, and change leadership
- Upper-Intermediate English proficiency (B2, Upper-Intermediate)
Nice to have
- AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect
- Experience with Databricks Unity Catalog and lineage/catalog tooling
- Knowledge of GDPR and regional privacy regulations in multi-country operations
- Experience with API-driven integration patterns in cloud data platforms