Overview
In a world where customer data drives every business decision, tapping into your CRM system is no longer optional—it’s essential. Proving to be one of the most critical data pipelines for our everyone of our clients.
As an implementation partner of Snowflake & Matillion, our team recently designed a Salesforce Ingestion Framework to seamlessly load data to Snowflake leveraging Matillion’s Data Productivity Cloud.
What Is the Salesforce Ingestion Framework?
This framework is a dynamic and fully metadata-driven pipeline built using Matillion. It’s designed to ingest Salesforce data into Snowflake, handling everything from incremental loads and schema drift to error logging and recovery. Whether you’re dealing with full refreshes or incremental updates, this pipeline does the heavy lifting—automatically.
Key Value
✔ Fully Metadata-Driven: No code changes for adding new objects.
✔ Incremental Loads: Delta logic via LastModifiedDate.
✔ Auto Column Additions: Handles new Salesforce fields at runtime.
✔ Structured Logging: Per-object run log with timestamps and status.
✔ Scalable Design: Though currently focused on Salesforce, it can be adapted to other sources.
✔ Robust Error Handling: Failures are isolated and logged, allowing the rest of the pipeline to continue.
Resources
To double click on the technical details of the framework, go to this step-by-step guide.
Conclusion
Our Salesforce-to-Snowflake ingestion framework exemplifies modern data engineering best practices: it’s dynamic, resilient, scalable, and driven by metadata.
For teams looking to automate and bulletproof their CRM data ingestion, our Matillion-based pipeline offers a production-ready solution within a matter of days. If you’re needing to automate your Salesforce data to Snowflake, speak to an expert today.
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