Data 360 - Lead/ Principal Forward Deployed Engineer
Role Overview
Hands-on Data 360 Forward Deployed Engineer role focused on implementing Salesforce’s real-time enterprise data platform for customers.
Builds data foundations and integrations that support Agentforce, including retrieval, vector search, MCP, and agent-to-agent communication.
Engagements may include proof work, production rollout, and stabilization with customer teams and Salesforce delivery partners.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on Data 360 Forward Deployed Engineer role focused on implementing Salesforce’s real-time enterprise data platform for customers.
Builds data foundations and integrations that support Agentforce, including retrieval, vector search, MCP, and agent-to-agent communication.
Engagements may include proof work, production rollout, and stabilization with customer teams and Salesforce delivery partners.
What you will do
- Build and deploy Data 360 solutions in customer environments using SQL, Apex, Python, Flow, APIs, Salesforce DX, Git, and deployment tooling as needed.
- Engineer ingestion, harmonization, identity resolution, data views, and batch or streaming integrations.
- Test functional outcomes, edge cases, security boundaries, failures, and performance at customer scale.
- Develop RAG, vector search, knowledge-base, MCP, and agent communication integrations for Agentforce.
- Apply data governance, security, authentication, authorization, and resilient distributed-system patterns.
- Debug implementation issues, document evidence and tradeoffs, and escalate product gaps with reproducible details.
- Pair with customer teams and partners, package reusable implementation materials, and support production handoff and stabilization.
Experience and background
- 8+ years in software engineering, data engineering, or technical implementation, including production data solution experience.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Hands-on Salesforce Data 360/Data Cloud or comparable enterprise data-platform implementation experience.
- Experience with enterprise data pipelines and integrations using one or more platforms or technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or enterprise MDM.
Technical qualifications
- Proficiency in SQL and fluency in at least one of Apex, Java, Python, or JavaScript/TypeScript.
- Understanding of data modeling, APIs, integration patterns, batch and streaming, and copied, federated, and Zero Copy data access.
- Experience building AI retrieval systems such as vector databases, search indexes, embedding pipelines, or knowledge bases.
- Experience with secure service integration and data access, including testing permissions, entitlements, consent, and user context.
- Relevant Salesforce Agentforce, Data 360, and Salesforce Platform certifications are mentioned without being stated as mandatory.
Delivery environment
- Work is performed directly in enterprise customer environments and alongside customer administrators, developers, data engineers, architects, and partners.
- The posting does not specify an onsite, hybrid, or remote work policy.
Benefits and culture
- Salesforce describes benefits and resources intended to support balance and employee impact.
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