Data Governance Engineer

Arabic.AI; Riyadh; On-site; SAR 201,000 - 335,000; Full time

Job summary

Arabic.AI is seeking a data governance lead to ensure the platform complies with national data-management and privacy rules. You will lead the data catalog, lineage, and metadata capture across pipelines and models, define and enforce data-quality rules, and publish reports.

You will classify datasets per client schemes, design access controls, and maintain governance documents. You will also advise on privacy controls and prepare audit evidence for regulators.

Qualifications

• NDMO/PDPL or equivalent data-protection rules knowledge.
• Cybersecurity controls for data: classification, access, encryption policy.
• Familiar with data catalogs, lineage and metadata tooling.
• Experience with data-quality frameworks and reporting.
• Experience with data classification schemes and access design.
• Ability to design access policies: roles, least privilege.
• Ability to write governance documents and audit evidence.

Responsibilities

• 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 datasets under the client’s scheme and specify access rules.
• Keep governance documents current: architecture, data models, lineage, catalog, metadata, quality, security and access.
• Advise engineers on privacy: masking, de-identification, retention.
• Prepare evidence for client and regulator audits and write governance sections of architecture documents.

Skills

SQL

RBAC

Data governance

Data privacy

Education

DAMA CDMP certification

Tools

Google Data Catalog

Dataplex

Job description

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.

What you will do

• 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.

What you need

• 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

Good to have

• DAMA CDMP or equivalent; experience with government audits

• Master-data or reference-data management