✦ Luna Orbit — Data & Analytics

Principal Solution Engineer

at Salesforce

📍 8 Locations Unknown 💰 $134K – $210K USD / year Posted March 14, 2026
Salary $134K – $210K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Principal Solution Engineer role focusing on designing and presenting analytics and AI solutions within the Salesforce ecosystem, working closely with clients to solve complex data challenges.

  • Lead technical sales cycles
  • Design analytics solutions
  • Build demos and prototypes
  • Present Salesforce infrastructure
  • Collaborate with sales teams

Environment includes Salesforce CRM, Tableau, Data Cloud, AI, and predictive analytics tools, with a focus on data architecture and solution selling.

The ideal candidate is a solution-oriented professional with experience in Salesforce analytics platforms, including Tableau and Data Cloud, with strong business acumen and technical expertise in AI and predictive analytics. They should be capable of designing innovative data solutions and working closely with sales teams.

SalesforceCRM AnalyticsTableauData CloudAIPredictive AnalyticsGenAI
Data ArchitectureBusiness IntelligenceData Integration
SalesforceCRM AnalyticsTableauData Cloud
SalesforceCRM AnalyticsTableauData CloudAIPredictive AnalyticsGenAIData ArchitectureBusiness IntelligenceData Integration
SalesforceCRM AnalyticsTableauData CloudAIPredictive AnalyticsGenAIData ArchitectureBusiness IntelligenceData Integration
business acumencommunicationproblem-solvingcollaborationstorytelling
Industry Technology
Job Function Technical sales and solution architecture for analytics and AI platforms
Role Subtype Analytics Architect
Tech Domains Salesforce, Tableau, CRM Analytics, Data Cloud
SalesforceCRM AnalyticsTableauData CloudAIPredictive AnalyticsGenAIData ArchitectureBusiness IntelligenceData IntegrationSolution SellingCustomer-facingData-drivenAnalytics SolutionsCross-cloud

Lack of experience with Salesforce or CRM Analytics, No familiarity with Data Cloud or Tableau, Inability to work in a customer-facing role

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