Principal Data Platform Engineer

Salesforce
San Francisco
Workplace: OnsiteFull timeUSD 197,300 - 313,700 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 15+ yearsSkills: ["Technical direction","Code review","Mentoring","Reliability ownership","Cost efficiency focus"]

Design and build backend services, event-driven systems, and AI agent runtimes that power a Snowflake-based lakehouse. Build RAG pipelines and tool-calling agents to improve how data products are discovered, queried, and trusted. Extend platform automation, CLI tooling, and shared utilities used by data teams daily, while setting technical direction via system/API design, code review, mentoring, and owning reliability, delivery, and cost efficiency.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Salesforce
Salesforce
5 days ago

Principal Data Platform Engineer

✓ Verified Job

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

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

Job Summary

Design and build backend services, event-driven systems, and AI agent runtimes that power a Snowflake-based lakehouse. Build RAG pipelines and tool-calling agents to improve how data products are discovered, queried, and trusted. Extend platform automation, CLI tooling, and shared utilities used by data teams daily, while setting technical direction via system/API design, code review, mentoring, and owning reliability, delivery, and cost efficiency.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design and build backend services and event-driven systems supporting the data platform, including AI agent runtimes and API integrations.
  • •Build RAG pipelines and tool-calling AI agents to improve discovery, querying, and trust for data products and the catalog.
  • •Extend platform automation, command-line tooling, and shared utilities used by data teams day-to-day.
  • •Set technical direction through system and API design, code review, and mentoring.
  • •Own service reliability, delivery, and cost efficiency.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually
Perks:MedicalDentalVisionHealth InsurancePaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •15+ years designing, building, and operating production backend services at scale.
  • •Expert-level Python, Go, or Java for production backend development.
  • •Hands-on experience building and deploying production AI/LLM applications, including RAG pipelines and tool-calling agents.
  • •Cloud infrastructure experience with AWS, including infrastructure as code and CI/CD for containerized services.
  • •Related technical degree required.
Experience:15+ yearsData platformAI/LLMLakehouseBackend servicesCloud infrastructure
Education:
Skills:Technical directionCode reviewMentoringReliability ownershipCost efficiency focus
Tech Stack:SnowflakePythonGoJavaAWSOAuthOIDCOAuth/OIDCCI/CDContainersDbtAirflowIcebergRAGLLMsModel Context Protocol (MCP)Slack

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