Snowflake
Snowflake platforms that stay fast, governed and on budget.
Migrations, Snowpark pipelines, Horizon governance and credit optimization from senior engineers.
Snowflake partner application in progress
What we do on Snowflake
From foundations to AI
Platform foundations
Accounts, roles, warehouses and network policies defined as code, with environments and CI/CD.
Pipelines and Snowpark
Snowpipe, Dynamic Tables, dbt and Snowpark pipelines with tests and deployment automation.
Governance with Horizon
Role hierarchy design, masking and row access policies, tagging, lineage and access history.
Cortex and AI data
Cortex Search and document pipelines for permission-aware RAG on Snowflake data.
Typical engagements
Three ways clients start
12–24 weeks
Warehouse to Snowflake migration
Legacy warehouse and ETL converted, reconciled in a parallel run and cut over by domain.
4–8 weeks
Role and access redesign
A role hierarchy and policy set that auditors can follow, replacing ad-hoc grants.
4–6 weeks
Snowflake credit optimization
Warehouse sizing, auto-suspend, query tuning and credit attribution by team.
Migration accelerators
Tools we bring
Reusable code that shortens the early weeks of every engagement. You keep it.
- Migration inventory scanner
- Catalogs legacy objects and dependencies to sequence migration waves.
- Reconciliation framework
- Automated comparison of legacy and Snowflake tables during the parallel run.
- RBAC-as-code templates
- Terraform templates for roles, warehouses and policies following least privilege.
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