Lead Principal Forward Deployed Engineer – Data 360

About the role

Salesforce is seeking a Lead Principal Forward Deployed Engineer to own end‑to‑end implementations of Data 360, its real‑time data engine, within enterprise customer environments. You will build, test, and deploy data pipelines, AI integration layers, and secure data services that power Agentforce solutions.

Key responsibilities

• Configure and develop directly in customer sandboxes and production using Data 360, SQL, Apex, Flow, Python, REST APIs, Salesforce DX, CLI, Git and related tooling.
• Engineer ingestion, harmonization, identity resolution, and materialized views for batch and streaming sources, optimizing latency and cost.
• Design and maintain AI data integration components such as vector databases, search indexes, and Retrieval‑Augmented Generation (RAG) pipelines.
• Implement secure service‑to‑service integrations (OAuth, SAML) and agent communication protocols (MCP, agent‑to‑agent).
• Debug complex data and integration issues, produce test data, and ensure production hand‑off and stabilization.

Required profile

• 8+ years of software or data engineering experience with a proven production data solution.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Hands‑on experience with Salesforce Data 360 (Data Cloud) or comparable enterprise data platform.
• Strong background in building data pipelines on platforms such as Snowflake, Databricks, BigQuery, Redshift, Kafka or cloud object storage.

Required skills

• SQL, Python, Apex, Java, JavaScript/TypeScript.
• Salesforce DX, Git, REST API, Interaction SDK.
• Experience with vector databases, search indexes, embedding pipelines.
• OAuth, SAML, event‑driven architecture, MCP and agent‑to‑agent protocols.