Salesforce Data Cloud
Techclub, Inc
Peapack and Gladstone, NJ, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Data Analysis
Cloud Computing
Data Integration
Software Debugging
Performance Tuning
Salesforce.Com
SAP (Applications)
Data Streaming
Apex Code
Data Ingestion
+2 more
Snowflake
User Identification
Job description
- Design and implement Salesforce Data Cloud (Data 360) data models, ingestion pipelines, transformations, and identity resolution rules.
- Develop Apex, LWC, platform events, flows, and integrations required for GTCS modernization.
- Configure and optimize Data Cloud segments, DMO mappings, calculated insights, and activation targets.
- Enable Data Cloud * Agentforce * GTCS data flows supporting AI agents (approvals, bid authoring, forecasting, exceptions).
- Build and enhance integrations with SAP, GPM, Snowflake, UDH, using APIs, connectors, and Zero Copy patterns.
- Support Data Cloud governance: data quality, lineage, monitoring, and performance tuning.
- Collaborate with Solution Architects, Data Engineers, and GTCS product teams during sprints.
- Troubleshoot data quality issues, ingestion faults, and complex GTCS data dependencies during rollouts.
Requirements
- 6-10+ years of Salesforce development experience.
-
Strong expertise in Salesforce Data Cloud (Data 360): o Data streams, mappings, identity resolution, unification o Segmentation and activation o Calculated insights
- Advanced experience in Apex, LWC, Flows, platform events, REST integrations.
- Solid understanding of GTCS CRM, tender/contract data, customer/product master flows.
- Experience working with Snowflake/SAP/GPM/UDH data integrations.
- Strong debugging, data analysis, and performance optimization skills.
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