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NEXTMOVEFDE careers · United States
Salesforce

Forward Deployed Engineer (FDE) - Data 360

AI summary of the role

Hands-on Forward Deployed Engineer for Salesforce Data 360, building and deploying real-time data solutions directly in enterprise customer environments.

What you’ll do

  • Configure and develop Data 360 directly in customer sandboxes and production using SQL, Apex, Flow, Python, REST Query API, Interaction SDK, Salesforce DX, CLI, Git, and Data Kits.
  • Engineer the data layer: build ingestion, harmonization, and identity resolution across batch and streaming sources, and materialize views for application, analytical, and agentic workloads.
  • Design and maintain AI data integration layer including RAG, vector databases, search indexes, and knowledge bases to ground Agentforce solutions.
  • Implement secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and agent protocols like MCP and agent-to-agent communication.

What you’ll bring

  • 5+ years in software engineering, data engineering, or technical implementation, including a production data solution.
  • Hands-on experience implementing Salesforce Data 360 (Data Cloud) or comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
  • Proficient in SQL and fluent in at least one implementation language: Apex, Java, Python, or JavaScript/TypeScript.
  • Experience building data pipelines with enterprise platforms like Snowflake, Databricks, BigQuery, Redshift, Kafka, or MDM.

Technologies

Data 360 · Data Cloud · SQL · Apex · Python · Flow · REST Query API · Interaction SDK · Salesforce DX · CLI · Git · Data Kits

About Salesforce

Salesforce sells CRM, data, integration, analytics and collaboration software now unified around Agentforce AI agents for enterprise customer workflows.

Public · 5000+ people

Source and classification

Implementation & delivery · Evidence for this classification:

Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce’s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the
More from the job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Applications for this position will be accepted on an ongoing basis. About the Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce’s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across inges [... source excerpt omitted ...] , security, and operational readiness. Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build. You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff. This is a hands-on [... source excerpt omitted ...] prise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it. What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. Engineer the data layer. Build ingestion, harm

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