engineer-cloud-ingestion

What problem does it solve?

Helps teams reliably connect external data sources and webhook streams to Braze by defining how to configure, test, monitor, and troubleshoot cloud data ingestion connectors and Data Transformation pipelines so user profiles, events, and catalogs stay accurate and up to date.

Core Features & Use Cases

• Connector configuration: Step-through guidance for CDI connectors to Snowflake, BigQuery, Redshift, Databricks and S3, including credential and permission requirements.
• Data Transformation authoring: Patterns and templates for writing, previewing, and validating JavaScript webhook transformations that produce Braze API payloads.
• Operational monitoring & troubleshooting: How to read sync logs, export error rows, configure notifications, and diagnose common failures such as missing UPDATED_AT, permission errors, or payload shape mismatches.
• Use case: Onboard a Snowflake table to sync purchases and user attributes into Braze, or create a webhook transformation to map Typeform submissions into /users/track calls.

Quick Start

Set up a Snowflake CDI connector to sync user events into Braze, ensure the UPDATED_AT high-watermark column exists and is indexed, and validate a Data Transformation using a captured webhook payload.