Data360 FDE

In this role you will deploy Data 360 in real enterprise environments, turning designs into production-grade data and AI solutions. You’ll work closely with architects, customer teams, and partners to build ingestion, harmonization, and identity layers, grounding agent solutions in accurate, real-time data. You’ll tackle complex data engineering and enable scalable, secure, and auditable implementations for enterprise customers. This is a hands-on role at the intersection of data, AI, and customer success, offering impact through direct customer delivery and platform improvement.

• Build and deploy Data 360 configurations in customer sandboxes and production environments
• Engineer data layer with ingestion, harmonization, and identity resolution across batch and streaming sources
• Ground AI agents with RAG, vector databases, and knowledge bases
• Design and implement agent communication protocols and secure data integration patterns
• Troubleshoot ingestion, mapping, and schema issues; validate data correctness and performance
• Collaborate with customer teams, architects, and delivery partners; hand off to operations with clear ownership
• Package reusable components and runbooks to enable repeatable deployments
• Support deployment validation, production handoff, and early stabilization
• Surface platform gaps and edge cases to Product and Support
• Align implementations with data mesh/fabric strategies and enterprise security policies

• 5+ years in software or data engineering with a production data solution
• Bachelor's degree in Computer Science or equivalent practical experience
• Hands-on implementation of Salesforce Data 360 (Data Cloud) or similar enterprise data platform
• Experience building data pipelines and integrations using enterprise data tech (e.g., Snowflake, Databricks, BigQuery, Redshift, Kafka)
• Proficiency in SQL and multi-table query optimization
• Fluency in Apex, Java, Python, or JavaScript/TypeScript; willingness to learn others
• Understanding of data modeling, APIs, batch/stream processing, and data access patterns
• Experience building retrieval systems for AI (vector databases, search indexes, embeddings)
• Experience secure service-to-service integration (OAuth, SAML, event-driven architectures) and agent protocols (MCP, agent-to-agent communication)
• Ability to implement secure data access and perform rigorous testing including permissions and entitlements
• Strong debugging and documentation skills with reproducible results
• Experience delivering with customers/partners in deadline-driven environments
• Relevant certifications in Salesforce Agentforce, Data 360, and Salesforce Platform

• Collaborative team player
• Strong problem-solving and analytical thinking
• Customer-facing communication and ability to explain technical concepts
• SQL
• Apex
• Python