Principal Data Engineer

Salesforce

Base: $197,300 - $313,700 annually; in select citi...
Hybrid
10+ years data modeling experience
Snowflake cloud warehouse expertise
Dimensional modeling star/snowflake schemas
Salesforce is seeking a Principal Data Engineer to lead data modeling efforts for their Marketing Data Warehouse, focusing on scalable architecture for data-driven decisions in a B2B marketing context. The ideal candidate will have extensive experience in data architecture, particularly in the Snowflake ecosystem, and a strong understanding of marketing data domains

Job Summary

  • This role serves as the technical authority for designing robust data models that integrate complex B2B marketing data across hybrid-cloud ecosystems including Snowflake and Salesforce Data 360.
  • The successful candidate will architect scalable end-to-end data architectures that optimize query performance and cost efficiency while supporting both analytical reporting and machine learning workloads.
  • Join a team of Trailblazers driving innovation in the agentic era, where you will ensure data accuracy and structural integrity to enable data-driven decisions across the Marketing organization.

Matching Summary

Match Score: 90

Salesforce is seeking a Principal Data Engineer to lead data modeling efforts for their Marketing Data Warehouse, focusing on scalable architecture for data-driven decisions in a B2B marketing context. The ideal candidate will have extensive experience in data architecture, particularly in the Snowflake ecosystem, and a strong understanding of marketing data domains.

Salary

Base: $197,300 - $313,700 annually; In select cities (SF/NYC): $237,700 - $344,700 annually; Bonus/Equity/Benefits: Not specified

Skills & Requirements

Must-have

  • 10+ years data modeling experience
  • Snowflake cloud warehouse expertise
  • Dimensional modeling Star/Snowflake schemas
  • Marketing data domain knowledge
  • SQL DDL/DML optimization
  • Informatica MDM integration
  • Data Mesh principles implementation

Nice-to-have

  • Salesforce Data 360 platform experience
  • Multi-org Salesforce CRM environment
  • Feature store and registry design
  • High-velocity iteration environment
  • Strong communication with stakeholders

Key Requirements

  • Master's or Ph.D. in Computer Science or related field
  • 10+ years hands-on data modeling experience
  • 5+ years enterprise data warehouse design
  • Deep expertise in Snowflake features
  • Experience with Informatica MDM

Work Rights

Not specified

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