Data Governance Engineer

About the role

Arabic.AI is hiring a Data Governance Engineer in Riyadh. The engineer makes sure the platform can prove it is well governed, covering the data catalog, lineage, metadata, quality reporting and classification, and the document set required by national data-management and privacy rules. The role works closely with the engineers who build the pipelines and the team that runs the platform, and is the point of contact for auditors.

Key responsibilities

• Set up and run the data catalog, lineage and metadata capture across all pipelines and models.
• Define data-quality rules, enforce them and publish validation and quality reports.
• Classify every dataset under the client's scheme and specify the access rules for each level, which the operations team implements.
• Keep the governance document set current: architecture updates, data models, lineage, catalog, metadata, quality, security and access.
• Advise data and ML engineers on privacy: masking, de-identification and retention.
• Prepare evidence for client and regulator audits and write the governance sections of the architecture documents.

Required profile

• Knowledge of national data-management and personal-data-protection requirements (NDMO and PDPL in Saudi Arabia, or equivalent elsewhere).
• Experience writing formal governance documents and audit evidence for a government or regulated client.
• Good to have: DAMA CDMP or equivalent, experience with government audits, master-data or reference-data management.

Required skills

• Cybersecurity controls for data: classification, access and encryption policy.
• Data catalog, lineage and metadata tooling (Google Data Catalog or Dataplex is a plus).
• Data-quality frameworks and reporting, and classification-based access design.
• Access-policy design: roles, RBAC matrices and least privilege.
• Sufficient SQL to profile and validate data yourself.