Job summary
Data Governance Engineer at Arabic.AI in Riyadh responsible for ensuring the platform meets governance and regulatory requirements. The role covers running the data catalog and lineage, enforcing data quality and classification, maintaining governance documents, and preparing audit evidence while working with engineers and operations.
Key responsibilities
- Deploy and operate data catalog, lineage and metadata capture across pipelines and models
- Define and enforce data-quality rules; publish validation and quality reports
- Classify datasets according to client scheme and specify corresponding access rules
- Maintain governance documentation: architecture, data models, lineage, catalog, metadata, quality, security
- Advise data and ML engineers on privacy measures: masking, de-identification, retention
- Prepare audit evidence for clients and regulators and write governance sections of architecture documents
- Act as the primary governance contact for auditors
Requirements
- Knowledge of national data-management and personal-data-protection rules (NDMO, PDPL or equivalents)
- Understanding of cybersecurity controls for data: classification, access, encryption
- Experience with data catalog, lineage and metadata tools (major tools; Google Data Catalog/Dataplex a plus)
- Familiarity with data-quality frameworks and reporting
- Experience with data classification schemes and classification-based access design
- Access-policy design experience: roles, RBAC matrices, least privilege
- Experience writing governance documents and audit evidence for regulated or government clients
- Proficient SQL for profiling and validating data
Skills
Data catalogingData lineageMetadata managementData qualityData classificationSQLRBACPrivacy / De-identificationAudit documentationCybersecurity controls
Source: Workable. Last checked as open: 13 Nov 2026. You apply directly with the employer.
Apply now
