Description

Architect and implement Salesforce Data Cloud solutions, owning data models, ingestion pipelines, identity resolution, and AI agent integrations for GTCS modernization.

This role is on-site.

Responsibilities

• Design and implement Data Cloud data models, ingestion pipelines, transformations, and identity resolution rules.
• Develop Apex, LWC, platform events, and flows to support GTCS modernization and AI agent data flows.
• Configure Data Cloud segments, DMO mappings, calculated insights, and activation targets.
• Build integrations with SAP, GPM, Snowflake, and UDH using APIs, connectors, and Zero Copy patterns.
• Troubleshoot data quality issues, ingestion faults, and performance bottlenecks during rollouts.

Required Skills

• 6–10+ years of Salesforce development experience.
• Strong expertise in Salesforce Data Cloud (Data 360): data streams, mappings, identity resolution, unification, segmentation, 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, and UDH data integrations.
• Strong debugging, data analysis, and performance optimization skills.

Key Skills

Education

Any Gradute