Description
Data 360 Architect and Data Cloud
Requirements
Technical Skills
- Data Cloud / Salesforce Data 360
- Data Model Objects (DMOs)
- Data Lake Objects (DLOs)
- Data Streams
- Data Sources / Data Source Objects
- Data Mapping
- Identity Resolution
Nice-to-have:
- Experince with APIs REST / SOAP
- Webhooks
- Event-driven architecture
- Middleware
- MuleSoft
- Kafka
- APIs Salesforce
Experienced and Senior Candidates (+5 YEARS)
Fluency in English – Required (C1); (B2) Acceptable.
Benefits
The benefits will be determined once the contractual terms have been established.