Senior Salesforce Consultant – Data 360

Role Overview

• Research & Field Validation: Deploy and stress-test pilot Data 360 features with customers, identifying platform gaps and feeding structured findings back to Technology & Product
• Conduct feasibility research on novel data unification, activation, and AI-grounding use cases
• Co-develop hypotheses with Technology & Product and design field experiments to validate them
• Document and escalate critical engineering issues with detailed evidence packages
• Participate in beta testing programs for new Data 360 features
• Customer Engagement: Lead technical engagement of new Data 360 products with early adopters
• Embed directly with customer teams to architect solutions unifying data across CRM, data lakes, and SaaS platforms
• Run rapid prototyping and POC cycles to validate data ingestion, federation, transformation, and activation use cases
• Serve as the primary technical advisor and escalation point for your customer portfolio
• Support customers in building AI-ready data foundations
• Product Acceleration & Feedback: Build reusable accelerators, playbooks, and reference architectures
• Raise Voice of Customer (VoC) inputs and influence Salesforce Idea Contributions (SICs)
• Partner directly with Product Managers and Engineers to influence roadmap priorities
• Analyze competitive CDP/data platform landscape to identify Salesforce's key differentiators
• Field R&D Engagement: Support qualifying R&D activities for the Data 360 FDE program
• Provide structured access to customer data schemas, DLO/DMO designs, and agent configurations to inform future Data 360 product design improvements
• Assist in codifying accelerators, playbooks, and reference architectures to enable scale across Services & Partners
• Participate in beta and pilot programs for incubation-stage Data 360 products

Requirements

• 5+ years of hands-on experience in enterprise data platforms, SaaS environments, or Salesforce Professional Services
• Deep expertise in Salesforce Data 360 — including data ingestion, identity resolution, data model, segmentation, and activation
• Strong hands-on experience with Batch Data Transforms (BDTs), calculated insights, and streaming ingestion
• Experience designing and implementing zero-copy integrations with external data platforms (Snowflake, BigQuery, AWS)
• Proficiency in SQL, data modeling, and ETL/ELT design patterns
• Understanding of AI grounding — building vector databases, RAG architectures, and unstructured data pipelines for Agentforce
• Experience with Data 360 Activation — segments, activation targets, and triggered flows
• Familiarity with data governance, consent management, GDPR/CCPA compliance frameworks within Data 360
• Strong diagnostic and problem decomposition instincts
• Exceptional written communication skills
• Certifications: Salesforce Data 360 Consultant, Salesforce Agentforce Specialist, Platform Developer I

Tech Stack

• AWS
• BigQuery
• ETL
• SQL

Benefits

• Flexible work arrangements
• Professional development opportunities