Salesforce
Forward Deployed Engineer (FDE) - Data 360
$89K–$317K
New York - New York +10 · Office - Flexible · Full-time · Posted Aug 25, 2026
- Location
- New York - New York
Illinois - Chicago
Washington - Seattle
Washington - Bellevue
Texas - Dallas
Colorado - Denver
Georgia - Atlanta
Indiana - Indianapolis
Virginia - Mclean
Texas - Austin
California - San Francisco - Experience
- 5+ years in software engineering, data engineering, or technical implementation, including a production data solution.
- Education
- Bachelor's degree in Computer Science or equivalent practical experience.
About the job
Builds, tests, deploys, and stabilizes Data 360 implementations in enterprise customer environments, including data pipelines and AI agent data integrations.
What you'll do
- Configure and develop Data 360 solutions, including ingestion, harmonization, identity resolution, integrations, and secure data access.
- Build and validate retrieval systems and agent communication protocols to ground Agentforce in enterprise data.
- Troubleshoot deployments, collaborate with customer teams, and package implementation materials for production handoff.
What they ask for
- Hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform.
- Hands-on experience building data pipelines and integrations with an enterprise data platform or technology.
- Proficiency in SQL and fluency in at least one of Apex, Java, Python, or JavaScript/TypeScript.
- Experience building AI retrieval systems and implementing secure service-to-service integration patterns.
Nice to have
- Relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform.
Pay
$88,970 - $287,910 annually (base salary); $97,860 - $316,750 per year (base salary)
Tools
Data 360, SQL, Python, Apex, Snowflake, Databricks, BigQuery, Kafka
AI focus
Build retrieval and data integration layers (RAG, vector databases, search indexes, and knowledge bases) that ground Agentforce in real-time enterprise data; implement MCP and agent-to-agent communication; use AI tooling to accelerate implementation.
Model-written summary · the original posting is authoritative