◈ Data Warehouse

BigQuery Finance Data Warehouse

Medallion architecture with compliance segregation for enterprise finance data.

Project Size

2 engineers, 1 architect

Timeline

8 weeks

Technologies

BigQuery, dbt

1Challenge

Finance data was spread across NetSuite, Salesforce, and various spreadsheets. No single source of truth existed, and compliance requirements demanded strict data segregation.

2Requirements

Unified data platform for all finance data
Compliance segregation between business units
Medallion architecture (bronze/silver/gold)
Automated daily refreshes
Self-serve analytics capability

3Solution

We implemented a BigQuery data warehouse with dbt for transformation. The medallion architecture separates raw, cleaned, and business-ready data. Compliance requirements are met through dataset-level access controls.

Key Features

Medallion Architecture: Bronze, silver, gold layers

Compliance Segregation: Dataset-level access control

dbt Transformations: Version-controlled, tested models

Self-Serve Ready: Semantic layer for analysts

4Results

Single source of truth for all finance data

Passed SOC 2 audit with flying colors

Query times reduced from hours to seconds

Analysts self-serve 80% of requests

5Conclusion

The data warehouse has become the foundation for all analytics and reporting. Teams across the organization trust the data and can answer questions in minutes instead of days.

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