Data Governance Engineer

You will make sure the platform can prove it is well governed. That means the data catalog, lineage, metadata, quality reporting and classification, and the document set that national data-management and privacy rules require. You will work closely with the engineers who build the pipelines and the team that runs the platform, and you will be the person the auditors talk to.

• Stand up and run the data catalog, lineage and metadata capture across all pipelines and models.

• Define data-quality rules, enforce them, and publish the validation and quality reports.

• Classify every dataset under the client's scheme and specify the access rules each level needs; the operations team implements them.

• Keep the governance document set current: architecture updates, data models, lineage, catalog, metadata, quality, security and access.

• Advise the data and ML engineers on privacy: masking, de-identification, retention.

• Prepare the evidence for client and regulator audits and write the governance sections of the architecture documents.

• National data-management and personal-data-protection requirements (NDMO and PDPL in Saudi Arabia, or equivalent elsewhere)

• Cybersecurity controls as they apply to data: classification, access, encryption policy

• Data catalog, lineage and metadata tooling (any major tool; Google Data Catalog or Dataplex is a plus)

• Data-quality frameworks and reporting

• Data classification schemes and classification-based access design

• Access-policy design: roles, RBAC matrices, least privilege

• Writing formal governance documents and audit evidence for a government or regulated client

• Enough SQL to profile and validate data yourself

• DAMA CDMP or equivalent; experience with government audits

• Master-data or reference-data management