Enterprise Data Governance Architect

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