Description

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): 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

Key Skills

Education

Any Gradute