Risk

• The professional will be responsible for designing, implementing, and operating initiatives in the following areas:
• 1. Platform & Infrastructure: Design and standardize the architecture for data ingestion, transformation, and delivery on Snowflake. Define best practices for modeling (data vault, dimensional, lakehouse patterns) and layers (raw, staging, curated, consumption). Integrate pipelines with orchestrators (e.g., Airflow, Prefect) and observability tools.
• 2. Data Cataloging: Implement/manage a data catalog (e.g., Collibra, Alation, Amundsen, Data Catalog) and technical and business metadata. Ensure full data lineage between sources, pipelines, and analytical consumption.
• 3. Process Standardization: Create policies and playbooks for onboarding new sources, pipeline versioning, and schema approval. Define SLAs/acceptance criteria for data deliveries and documentation templates (data contracts).
• 4. Data Quality: Design and operationalize data quality frameworks (e.g., Great Expectations, Deequ) and automated monitoring. Define quality KPIs (completeness, accuracy, temporal conformity) and correction/alert routines.
• 5. Data Security: Implement data security and compliance policies (LGPD, access controls, encryption, masking, logging). Manage access governance (RBAC/ABAC), auditing, and environment segregation (dev/test/prod).
• 6. Cultural Change and Organizational Governance: Promote analytical culture: KPI definition, training, workshops, and formation of data committees. Act as a bridge between business areas and technical teams, facilitating prioritization and adoption of best practices.

Data Governance Specialist

Senior Data Governance Analyst

Governance and Performance Specialist II

Specialist I – Risk Management

Data Governance Analyst