Principal Data Engineer

Salesforce UK

United Kingdom
Base: $197,300 - $313,700 annually; base: $237,700...
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Data modeling for b2b marketing data
Snowflake data warehouse expertise
Dimensional modeling (star/snowflake schemas)
** Salesforce is seeking a Principal Data Engineer to lead the design and management of data models for its Marketing Data Warehouse. This role requires extensive experience in data modeling, architecture, and collaboration with various teams to support data-driven marketing strategies. **

Job Summary

  • The Marketing Data Science team is seeking an experienced data modeler to build and manage the data model(s) for our Marketing Data Warehouse, enabling data-driven decisions across Marketing.
  • 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.
  • Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

Matching Summary

Match Score: 75

** Salesforce is seeking a Principal Data Engineer to lead the design and management of data models for its Marketing Data Warehouse. This role requires extensive experience in data modeling, architecture, and collaboration with various teams to support data-driven marketing strategies. **

Salary

Base: $197,300 - $313,700 annually; Base: $237,700 - $344,700 annually (select cities); Bonus/Equity: company bonus, incentive for sales roles, equity; Benefits: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program

Skills & Requirements

Must-have

  • Data modeling for B2B marketing data
  • Snowflake data warehouse expertise
  • Dimensional modeling (Star/Snowflake schemas)
  • ETL tools and cloud services
  • Marketing data domains experience
  • Data Mesh principles implementation
  • ML feature engineering modeling

Nice-to-have

  • Salesforce Data 360 platform knowledge
  • High-velocity environment adaptability
  • Data governance and cataloging

Key Requirements

  • Master’s or Ph.D in Computer Science, Information Systems, or related quantitative field
  • 10+ years hands-on data modeling, data architecture, or database design
  • 5+ years designing and implementing large-scale Enterprise Data Warehouses
  • Expert-level knowledge of dimensional modeling
  • Extensive experience with marketing data domains
  • Proven experience building and optimizing data models on Snowflake
  • Advanced proficiency with SQL and DDL/DML
  • Expert-level mastery of major data modeling methodologies
  • Deep experience modeling Master Data Management golden records
  • Experience implementing Data Mesh principles
  • Experience designing data models for ML feature engineering
  • Proven track record partnering with Data Engineering, Data Science, and ML Engineering teams
  • Experience partnering with Data Governance teams
  • Exceptional communication skills

Work Rights

Not specified

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