Description

Architect and implement Salesforce Data Cloud solutions to unify customer data and enable real-time personalization.

Responsibilities

• Design and build data models, harmonize data, and implement identity resolution within Data Cloud.
• Architect Customer 360 platforms utilizing Data Cloud for real-time personalization and predictive insights.
• Integrate AI/ML capabilities into Agent Force solutions using Einstein Studio and external LLMs.
• Build and manage data integration pipelines using API-based methods and event-driven designs.

Required Skills

• 10+ years in Salesforce or enterprise data platforms, with 3+ years hands-on experience in Salesforce Data Cloud.
• Deep expertise in Data Cloud architecture, data modeling, harmonization, and identity resolution.
• Proficiency in Data Cloud Query Language (DQL) and advanced segmentation strategies.
• Proven experience designing large-scale Customer Data Platforms (CDP) and unified data platforms.
• Expertise in integrating AI/ML with Agent Force, including Einstein Studio and RAG retrievers.
• Hands-on experience with cloud platforms including AWS, Azure, GCP, Snowflake, and Databricks.
• Experience implementing API-based integrations, ETL/ELT pipelines, and event-driven architectures.

Preferred Skills

• Strong knowledge of data governance, MDM, and data lake/warehousing concepts.
• Familiarity with Salesforce technical stack (Apex, Lightning, Marketing Cloud, MuleSoft).

Key Skills

Education

Bachelor's degree