Principal Data Modeler

Salesforce

Multiple Locations
Base: $197,300 - $313,700 annually; base: $237,700...
Hybrid
Data modeling for marketing data warehouse
Design and govern optimal data models
Scalable, high-performing data architecture
The Marketing Data Science team is seeking an experienced data modeler to build and manage data models for the Marketing Data Warehouse, enabling data-driven decisions

Job Summary

  • The Marketing Data Science team is seeking an experienced data modeler to build and manage data models for the Marketing Data Warehouse, enabling data-driven decisions.
  • This role is crucial for designing and governing optimal data models across a complex data environment, including Salesforce Data 360, Snowflake, and Amazon data lakes.
  • Key responsibilities include translating business needs into precise data requirements, architecting tables for critical metrics, and partnering with Data Engineering to optimize performance and cost efficiency.

Matching Summary

The Marketing Data Science team is seeking an experienced data modeler to build and manage data models for the Marketing Data Warehouse, enabling data-driven decisions.

Salary

Base: $197,300 - $313,700 annually; Base: $237,700 - $344,700 annually (select cities); Bonus/Equity: Company bonus, incentive for sales roles, equity as applicable; Benefits: Medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), ESPP

Skills & Requirements

Must-have

  • Data modeling for Marketing Data Warehouse
  • Design and govern optimal data models
  • Scalable, high-performing data architecture
  • B2B marketing data ecosystem
  • Analytical reporting and machine learning workloads
  • Snowflake expertise
  • SQL and DDL/DML proficiency

Nice-to-have

  • Data Mesh principles
  • Data cataloging and metadata standards
  • Agility with governance requirements
  • Passion for data accuracy
  • AI and workforce transformation

Key Requirements

  • Master’s or Ph.D in Computer Science or related field
  • 10+ years data modeling/architecture experience
  • 5+ years Enterprise Data Warehouse experience
  • Expert-level dimensional modeling
  • Extensive marketing data domains experience
  • Hands-on Snowflake data modeling
  • Experience with ETL tools and cloud services

Work Rights

Not specified

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