Salesforce Architect Data Cloud, Search Index & RAG

Job Title: Salesforce Architect Data Cloud, Search Index & RAG

Location: Remote

Experience: 10+ Years overall | 5+ Years Salesforce Architecture

Job Summary

We are seeking an experienced Salesforce Architect with strong expertise in Salesforce Data Cloud, Search Indexing, and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will design scalable, secure, and high-performance Salesforce solutions integrating structured and unstructured data, enabling AI-powered search and intelligent experiences across the Salesforce ecosystem.

Key Responsibilities

• Design and lead end-to-end Salesforce architecture across Sales, Service, Experience Cloud, and Data Cloud

• Architect and implement Salesforce Data Cloud for unified customer profiles and real-time data ingestion

• Design and optimize Search Indexing strategies (structured & unstructured data) within Salesforce and external systems

• Build and integrate RAG-based AI solutions, enabling contextual search and AI-driven insights

• Collaborate with AI/ML teams to integrate LLMs, vector databases, and Salesforce AI capabilities

• Define data models, ingestion pipelines, and transformation logic within Data Cloud

• Ensure secure data access, governance, and compliance across platforms

• Optimize performance, scalability, and cost of Salesforce and AI integrations

• Guide development teams with best practices, standards, and design patterns

• Participate in architecture reviews, solution blueprints, and technical roadmaps

Required Skills & Qualifications

• 10+ years of IT experience with 5+ years as a Salesforce Architect

• Strong hands-on experience with Salesforce Data Cloud (CDP)

• Expertise in Search Indexing, data retrieval, and query optimization

• Experience designing RAG (Retrieval-Augmented Generation) architectures

• Knowledge of vector databases, embeddings, and semantic search

• Strong understanding of Salesforce APIs, integrations, and event-driven architecture

• Proficiency in Apex, Lightning Web Components (LWC), and SOQL

• Experience with cloud platforms (AWS / Azure / Google Cloud Platform) for AI & data workloads

• Strong data modeling and data governance experience

Preferred Qualifications

• Salesforce Certifications (Technical Architect, Integration Architect, Data Cloud Consultant)

• Experience with Salesforce Einstein / AI integrations

• Exposure to GenAI use cases within CRM or enterprise platforms

• Prior experience in large-scale enterprise Salesforce implementations

Soft Skills

• Strong leadership and stakeholder communication skills

• Ability to translate business requirements into technical architecture

• Problem-solving mindset with attention to scalability and security

• Experience mentoring architects and developers