Data360 FDE

Salesforce
London
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Builder mindset","Methodical troubleshooting","Documentation","Collaboration","Customer delivery"]

Build and deploy Data 360 in real enterprise customer environments as a hands-on Forward Deployed Engineer. Configure and develop ingestion, harmonization, and identity resolution across batch and streaming sources, then validate with disciplined testing and performance tuning. Ground Agentforce with RAG, vector search, and MCP/agent-to-agent protocols, ensuring secure, governed data integration and resilient, scalable workflows from sandbox through production.

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FursaFursa
Salesforce
Salesforce
2 days ago

Data360 FDE

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and deploy Data 360 in real enterprise customer environments as a hands-on Forward Deployed Engineer. Configure and develop ingestion, harmonization, and identity resolution across batch and streaming sources, then validate with disciplined testing and performance tuning. Ground Agentforce with RAG, vector search, and MCP/agent-to-agent protocols, ensuring secure, governed data integration and resilient, scalable workflows from sandbox through production.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Configure and develop directly in customer sandboxes and production using Data 360 configuration, SQL, Apex, Flow, Python, and Salesforce deployment tooling while following release and change-management controls.
  • •Build ingestion, harmonization, and identity resolution across batch and streaming sources, including tuning latency/cost tradeoffs and materializing views for application, analytical, and agentic workloads.
  • •Create representative test data and validate outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
  • •Design and maintain AI data integration for Agentforce, including RAG, vector databases, search indexes, and knowledge bases that ground solutions in accurate, real-time enterprise data.
  • •Implement secure, governed data integration patterns and troubleshoot issues spanning ingestion failures, identity anomalies, query behavior, permissions, API errors, and activation latency.

Key Requirements

  • •5+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution you can explain in detail.
  • •Hands-on experience implementing Salesforce Data 360 (Data Cloud) across ingestion, modeling, identity, insight, activation, and operations.
  • •Hands-on experience building data pipelines and integrations using enterprise data platforms/technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or MDM.
  • •Proficiency in SQL for building, debugging, and optimizing multi-table queries including joins, filters, transformations, and validation checks.
  • •Hands-on experience with at least one implementation language used in enterprise delivery: Apex, Java, Python, or JavaScript/TypeScript.
Experience:5+ years
Education:Bachelor's in Computer Science
Skills:Builder mindsetMethodical troubleshootingDocumentationCollaborationCustomer delivery
Certifications:Salesforce AgentforceData 360Salesforce Platform
Tech Stack:Data 360Salesforce Data CloudSQLPythonApexFlowREST Query APIInteraction SDKSalesforce DXCLIGitData KitsRAGRetrieval-Augmented GenerationVector databasesSearch indexesKnowledge basesModel Context Protocol (MCP)OAuthSAML

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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