Data Governance Engineer

arabic; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

arabic seeks a data governance expert to ensure governance across data catalog, lineage, metadata, and quality reporting in a regulatory context. You will collaborate with engineers and the auditing team to prove compliance with Saudi data rules.

You will define quality rules, classify datasets, maintain governance documents, and guide privacy measures for data and ML systems, while preparing audit evidence.

Qualifications

• Experience implementing national data-management and personal-data-protection requirements (e.g., NDPM/PDPL).
• Ability to design and publish data-quality rules and quality reports.
• Proficiency in data catalog, lineage, and metadata tooling.
• Knowledge of data classification schemes and access design (RBAC, least privilege).
• Experience writing formal 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 validation and quality reports.
• Classify datasets under the client’s scheme and specify access rules for levels.
• Keep governance documents current: architecture updates, data models, lineage, catalog, metadata, quality, security and access.
• Advise data and ML engineers on privacy: masking, de-identification, retention.
• Prepare evidence for client and regulator audits and write governance sections of architecture documents.

Skills

Data governance

Data catalog

RBAC

Privacy

Audits

SQL

Education

DAMA CDMP

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