Snowflake
Data Governance
Governance users actually follow
Roles, RLS/dynamic masking, lineage, and policy as code.
We implement practical governance: clear access models, masking for sensitive fields, lineage reports, and data contracts that teams can live with. When you add AI, prompts and outputs stay inside policy.
Deliverables
Role Design
Clear roles and permissions model so the right people see and do the right things.
RLS / Dynamic Masking
Row-level security and masking rules to protect sensitive fields by user/context.
Lineage & Audits
Visibility into where data comes from, how it’s transformed, and who changed what.
Data Contracts
Agreed schemas, SLAs, and quality rules between producers and consumers.
KPIs
- Policy coverage %
- Access approval time
- Incidents avoided
AI options
- Guardrailed RAG
- Prompt monitoring, response auditing