Principal Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Childcare support

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Learning budget

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Verification

Source-linked last checked May 7, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.

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Schedule

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Application

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Deadline

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About this role

Principal Data Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; Georgia - Atlanta Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Agentforce is the future of AI, and you are the future of Salesforce! The Marketing Data Science team within Salesforce's Chief Data Office is seeking an experienced data modeler to build and manage the data model(s) for our Marketing Data Warehouse. This role is crucial for enabling data-driven decisions across Marketing and will be the technical authority for all data modeling efforts, ensuring the warehouse architecture is scalable, high-performing, and accurately reflects the complex relationships within our rich B2B marketing data ecosystem (including campaigns, channels, leads, customer journeys, opportunities, etc.) This role's primary focus is on the practical design, implementation, and optimization of the data models for the Marketing Data Warehouse. It will be responsible for designing and governing the optimal data models that span our complex data environment, hybrid-cloud ecosystem, including Salesforce Data 360 (formerly Data Cloud), Snowflake, Amazon data lakes, multiple Salesforce orgs, Informatica MDM, and graph databases. A key success factor is designing models that serve both analytical reporting and

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