Salesforce Data Cloud Engineer (m/w/d) focus DWH | Mulesoft | REST

Leistungsbeschreibung

The customer is implementing a central Customer Data Platform (CDP) to consolidate customer data and enable personalized, data-driven customer interactions across channels. The program aims to scale high-value use cases and establish a 360° customer view.

Anforderungen

The objective is to bridge the temporary resource gap by an external Salesforce Data Cloud Developer who will:

• Ensure stable and continuous operation of the CDP
• Maintain progress on ongoing implementations and migrations
• Prevent delays in prioritized use cases

Project Integration

• Embedded within the CDP / Use Case Factory Team (implementation & scaling streams)
• Working within established tools and processes (e.g. Jira, Confluence, MS Teams)
• Operating in a hybrid delivery model

Scope of Work & Responsibilities

Technical Implementation & Operations

• Development and maintenance of the Salesforce Data Cloud environment
• Coachings for data integration from source systems into the CDP
• Ensuring data availability, reliability, and quality

Use Case Implementation

• Consulting in defining technical requirements and data models
• Contribution to testing activities (SIT/UAT) and bug fixing

Collaboration & Setup

• Collaboration with Product Owner, CRM, Data Analytics, and IT teams
• Occasional participation in Planning and Reviews
• Documentation of developments and structured knowledge transfer to internal resources

Data Integration

• Connect and ingest data from multiple sources (CRM, external systems, APIs, data warehouses)
• Configure data streams and pipelines into Salesforce Data Cloud
• Data Modeling
• Design and maintain data models (data lake objects, unified data model)
• Map source data to standardized schemas within Data Cloud
• Identity Resolution
• Configure rules to unify customer data from different systems
• Build and maintain unified customer profiles (golden records)
• Data Transformation
• Create calculated insights, transformations, and data enrichments
• Clean, deduplicate, and standardize incoming datasets
• API & Integration Development
• Use APIs (REST, MuleSoft, etc.) to integrate Data Cloud with external systems
• Enable real-time data exchange between platforms
• Performance & Governance
• Monitor data ingestion performance and optimize pipelines
• Ensure data quality, security, and compliance (e.g., GDPR)

Über den Auftraggeber

Start: 08/06/2026 

End: 25/09/2026; + option to extend 

Workload: approx. 24 hours per week 

On-site hours: 0

Offsite hours: 280

Contract type: Contracting | Only offshore resources are permitted

Location: Remote 

Other: English and, preferably, German