D360 Forward Deployed Engineer

Salesforce
Munich, Düsseldorf, Frankfurt, Stuttgart, Berlin
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Builder mindset","Disciplined testing","Debugging","Documentation","Collaboration"]

Configure, build, test, and deploy Data 360 implementations directly inside enterprise customer environments. Turn solution designs into working ingestion, harmonization, identity, insights, activation, retrieval, and operational-readiness capabilities. Write SQL, Apex, and Python; debug data and permissions issues; and ground Agentforce with RAG, vector search, knowledge bases, MCP, and secure agent-to-agent integration. Collaborate in delivery teams across proofs, rollouts, and stabilization with disciplined testing and supportable handoffs.

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FursaFursa
Salesforce
Salesforce
3 days ago

D360 Forward Deployed Engineer

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Job Summary

Configure, build, test, and deploy Data 360 implementations directly inside enterprise customer environments. Turn solution designs into working ingestion, harmonization, identity, insights, activation, retrieval, and operational-readiness capabilities. Write SQL, Apex, and Python; debug data and permissions issues; and ground Agentforce with RAG, vector search, knowledge bases, MCP, and secure agent-to-agent integration. Collaborate in delivery teams across proofs, rollouts, and stabilization with disciplined testing and supportable handoffs.
Location: Munich, Düsseldorf, Frankfurt, Stuttgart, Berlin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Configure and develop Data 360 directly in customer sandboxes and production using required Salesforce tools and controls.
  • •Engineer ingestion, harmonization, and identity resolution across batch and streaming sources, including tuned materializations for target workloads.
  • •Create representative test data and validate outcomes across functional paths, edge cases, access boundaries, failure conditions, and customer-scale volumes.
  • •Design and maintain the AI data integration layer, including RAG, vector databases, search indexes, and knowledge bases to ground Agentforce in real-time data.
  • •Implement secure, scalable data integration patterns and agent communication protocols (including MCP and agent-to-agent communication), troubleshoot issues, and deliver supportable production handoffs.

Key Requirements

  • •5+ years of experience in software engineering, data engineering, or technical implementation, including production data solutions.
  • •Bachelor’s degree in Computer Science or equivalent practical experience.
  • •Hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
  • •Proficiency in SQL for building, debugging, and optimizing multi-table queries and transformations.
  • •Hands-on experience building data pipelines and integrations using enterprise platforms/technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or enterprise MDM.
Experience:5+ yearsData engineeringEnterprise data platformsSalesforceData CloudReal-time dataAI/agentic applications
Education:Bachelor's in Computer Science
Skills:Builder mindsetDisciplined testingDebuggingDocumentationCollaboration
Certifications:Salesforce AgentforceData 360Salesforce Platform
Tech Stack:SQLPythonApexFlowREST Query APIInteraction SDKSalesforce DXCLIGitData KitsData 360RAGVector databasesSearch indexesKnowledge basesModel Context Protocol (MCP)MCPOAuthSAMLEvent-driven architecture

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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