Role & responsibilities
Data Cloud Architecture & development: Design data cloud architecture and data ingestion pipelines.
Integration: Integrate with Snowflake by using API based architecture using MuleSoft. Build pipelines to support the data retrieval required for AI.
RAG Data Element: sound knowledge of how to prepare data set required for AI.
Performance: Manage API limits and ensure scalability. Transparent concepts for data governance & data quality framework.
Required Skills
Data cloud
Mulesoft API based integration
Data modeling
Pipeline designs
REST / Event-driven integration