数据治理工程师

Job description:

Scope of Work
The resource will work on the production environment covering data warehouses, data lakes, intermediate tables, result tables, and logs, with a focus on PII discovery, classification, processing standards, and retention. NonPII data are out of scope.
Key Responsibilities
Data Inventory & Classification
· Conduct a full inventory of existing data assets across production environments.
· Identify, scan, and manually validate data fields containing PII.
· Define and confirm data classification criteria (e.g., sensitivity, business criticality) with stakeholders.
· Tag data fields according to the approved classification framework.
· Produce and maintain a comprehensive data classification glossary.
PII Processing Standards
· Develop differentiated data management rules for different business scenarios (customer, internal, public data).
· Formalize standard specifications for data processing.
· Design and document standard data masking and encryption procedures aligned with data sensitivity levels.
· Implement agreed standards across relevant systems and validate effectiveness.
Data Retention & Lifecycle Management
· Define data retention periods based on legal, regulatory, and business requirements.
· Formalize retention, archiving, and deletion rules for PIIrelated data assets.
· Develop a retention management specification covering roles, responsibilities, and processes.
· Design and deploy automated retention jobs (archiving/deletion).
· Establish monitoring, audit, and reporting processes to ensure compliance.
Key Deliverables
· Completed data inventory report
· Approved data classification framework
· Validated and tagged PII data documentation
· Data classification glossary
· Scenariospecific data management rules
· Formal processing standard specification
· Data masking & encryption procedures documentation
· Implementation and testing