Role Overview:This role involves designing, implementing, and optimizing Salesforce Data Cloud (Data 360) solutions, including data models, ingestion pipelines, transformations, and identity resolution. The successful candidate will also be responsible for developing Apex, LWC, platform events, flows, and integrations crucial for GTCS modernization, enabling robust data flows to support AI agents and various business processes.
Key Responsibilities:- 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.
Required Skills:- 6-10+ years of Salesforce development experience.
- Strong expertise in Salesforce Data Cloud (Data 360), including data streams, mappings, identity resolution, unification, segmentation and activation, and calculated insights.
- Advanced experience in Apex, LWC, Flows, platform events, and REST integrations.
- Solid understanding of GTCS CRM, tender/contract data, and customer/product master flows.
- Experience working with Snowflake/SAP/GPM/UDH data integrations.
- Strong debugging, data analysis, and performance optimization skills.
Qualifications:- 6-10+ years of Salesforce development experience.
