Salesforce Data Cloud

Techclub, Inc

Peapack and Gladstone, NJ, United States

12 days ago

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

www.dice.com

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.