Principal Data Engineer

Salesforce
San Francisco, Seattle
Workplace: HybridFull timeUSD 197,300 - 313,700 annuallyFunction: Communications, PR & CommunityExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Mentorship","Engineering rigor"]

Serve as chief data architect for AgentExchange, designing and scaling enterprise-grade data platforms, lakehouses, real-time pipelines, and feature stores that power product analytics and autonomous AI agents. Build production orchestration and event-driven architectures, establish governance, quality, lineage, and performance monitoring for mission-critical reliability, and co-own the long-term data technology roadmap. Partner with decision scientists, software engineers, and product leaders to translate complex needs into scalable systems and mentor engineers.

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FursaFursa
Salesforce
Salesforce
4 days ago

Principal Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Serve as chief data architect for AgentExchange, designing and scaling enterprise-grade data platforms, lakehouses, real-time pipelines, and feature stores that power product analytics and autonomous AI agents. Build production orchestration and event-driven architectures, establish governance, quality, lineage, and performance monitoring for mission-critical reliability, and co-own the long-term data technology roadmap. Partner with decision scientists, software engineers, and product leaders to translate complex needs into scalable systems and mentor engineers.
Location: San Francisco, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect, build, and scale foundational data platforms, lakehouses, and high-throughput pipelines for AgentExchange product analytics, metrics, and agentic workflows.
  • •Design and deploy production-grade data pipelines, feature stores, and event-driven architectures enabling reliable operation of autonomous AI agents at enterprise scale.
  • •Establish end-to-end data governance, quality frameworks, lineage tracking, and performance monitoring for zero-downtime reliability of mission-critical data assets.
  • •Serve as principal technical authority on data architecture, partnering with decision scientists, software engineers, and product managers to deliver elegant technical systems.
  • •Co-own the long-term data technology roadmap and mentor engineers by setting standards for code quality, testing, CI/CD, and system design.

Pay and Benefits

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

Key Requirements

  • •7+ years of hands-on data engineering experience building enterprise-scale data platforms, distributed systems, and real-time data pipelines, with a track record of shipping production code while leading architecture.
  • •Expertise in distributed computing, data lakehouse architectures, cloud data warehouses, and orchestration tools such as Airflow and Dagster.
  • •Demonstrated experience building data systems for LLMs, agentic workflows, feature stores, or vector retrieval pipelines.
  • •Expert proficiency in Python, Scala, or Java, with strong SQL tuning and familiarity with Docker, Git, CI/CD, and IaC.
  • •Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent practical impact).
Experience:7+ yearsEnterprise data platformsDistributed systemsReal-time pipelinesLLMsAgentic workflows
Education:Bachelor's
Skills:CommunicationMentorshipEngineering rigor
Tech Stack:PythonScalaJavaSQLAirflowDagsterDockerGitCI/CDIaCLakehouseCloud data warehousesLLMsVector retrieval pipelinesFeature storesEvent-driven architectures

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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