Principal Forward Deployed Engineer - Analytics

Salesforce
Dallas, Austin
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 7+ yearsSkills: ["Communication","Problem-solving","Technical-to-business translation","Mentoring","Root-cause analysis"]

Lead the end-to-end technical design and deployment of agentic analytics conversational use cases for strategic customers. Build semantic data models in Salesforce Data360, integrate and unify structured/unstructured data into a lakehouse environment, and rapidly prototype to accelerate customer time-to-value. Serve as the technical voice between product and customers, enable customer self-sufficiency through hand-offs, and troubleshoot production issues like performance bottlenecks and modeling errors.

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Salesforce
Salesforce
4 days ago

Principal Forward Deployed Engineer - Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Closed

Job Summary

Lead the end-to-end technical design and deployment of agentic analytics conversational use cases for strategic customers. Build semantic data models in Salesforce Data360, integrate and unify structured/unstructured data into a lakehouse environment, and rapidly prototype to accelerate customer time-to-value. Serve as the technical voice between product and customers, enable customer self-sufficiency through hand-offs, and troubleshoot production issues like performance bottlenecks and modeling errors.
Location: Dallas, Austin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Architect and deploy conversational analytics agents, optimizing for accuracy, latency, and relevance.
  • •Construct and refine semantic data models within Salesforce Data360 so agents can interpret, query, and visualize enterprise data.
  • •Rapidly prototype and iterate during implementation to address customer business questions.
  • •Engineer scalable data pipelines to ingest, clean, and unify data into the Data360 lakehouse and canonical model.
  • •Troubleshoot performance bottlenecks, hallucinations, and data-modeling errors; document friction points and collaborate with product teams.
  • •Conduct technical hand-offs and mentoring for customer data teams to maintain and expand agents and semantic models.

Pay and Benefits

Equity and Bonus:Equity
Perks:MedicalDentalVisionHealth InsurancePaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •7+ years of technical experience in data engineering, analytics implementation, or software development with customer-facing delivery.
  • •Strong hands-on data lakehouse/data architecture and SQL skills for data modeling and schema design.
  • •Practical experience building or deploying solutions using Large Language Models (LLMs), RAG, or conversational AI frameworks.
  • •Understanding of semantic modeling (mapping business logic to semantic layers/ontologies/metrics layers).
  • •Proficiency in Python for data manipulation and scripting, including familiarity with API integrations.
Experience:7+ yearsData engineeringAnalyticsCustomer-facing deliveryData lakehouseAI/ML
Skills:CommunicationProblem-solvingTechnical-to-business translationMentoringRoot-cause analysis
Tech Stack:SQLPythonTableauSalesforce Data360AgentforceSalesforce Data CloudEinsteinApexLLMsRAGConversational AISemantic layersOntologiesMetrics layersData lakehouseAPI integrationsAPIsIPaaSAPI gatewaysCloud

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
WebsiteLinkedInGlassdoor