D360 Forward Deployed Engineer

Salesforce
Dublin
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Builder mindset","Problem-solving","Methodical troubleshooting","Documentation","Cross-functional collaboration"]

Build and deploy Salesforce Data 360 implementations inside enterprise customer environments, turning approved designs and acceptance criteria into production-ready ingestion, harmonization, identity, insights, activation, and operational readiness. Write SQL, Python, and Apex; develop and test data pipelines; debug failures; and ground Agentforce with RAG, vector search, and MCP-based agent communication. Collaborate with architects and customer technical teams from proof through rollout and stabilization.

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FursaFursa
Salesforce
Salesforce
16 hours ago

D360 Forward Deployed Engineer

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Last checked: 1 hour agoStatus: Live

Job Summary

Build and deploy Salesforce Data 360 implementations inside enterprise customer environments, turning approved designs and acceptance criteria into production-ready ingestion, harmonization, identity, insights, activation, and operational readiness. Write SQL, Python, and Apex; develop and test data pipelines; debug failures; and ground Agentforce with RAG, vector search, and MCP-based agent communication. Collaborate with architects and customer technical teams from proof through rollout and stabilization.
Location: Dublin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Configure, build, test, and deploy Data 360 in customer sandboxes and production using Salesforce configuration plus SQL, Apex, Flow, and Python.
  • •Engineer ingestion, harmonization, and identity resolution across batch and streaming sources, tuning latency and cost tradeoffs for use-case requirements.
  • •Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, and failure conditions.
  • •Design and maintain the AI data integration layer (RAG, vector databases, search indexes, knowledge bases) to ground Agentforce with accurate, real-time data.
  • •Implement secure, scalable integration patterns and protocols (including OAuth and SAML), debug ingestion/mapping/identity issues, and support production handoff and early stabilization.

Key Requirements

  • •5+ years of experience in software engineering, data engineering, or technical implementation, including production data solutions you can explain in detail.
  • •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 to build, debug, and optimize multi-table queries with transformations and validation.
  • •Fluent in at least one implementation language used in enterprise delivery (Apex, Java, Python, or JavaScript/TypeScript) and able to learn others as needed.
Experience:Enterprise data platformData engineeringAI applicationsSalesforceData ingestionData integration
Education:Bachelor's in Computer Science
Skills:Builder mindsetProblem-solvingMethodical troubleshootingDocumentationCross-functional collaboration
Certifications:Salesforce AgentforceData 360Salesforce Platform
Tech Stack:SQLPythonApexFlowREST Query APIInteraction SDKSalesforce DXCLIGitData KitsData 360Data CloudRAGVector databasesSearch indexesEmbedding pipelinesKnowledge basesModel Context Protocol (MCP)Agent-to-agent communicationOAuth

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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