Principal Data Engineer

Salesforce

Principal Data Engineer handling data modeling and architecture for Salesforce's Marketing Data Warehouse. Collaborating with cross-functional teams to optimize data integration and accessibility.

Posted 4/9/2026full-timeSan Francisco • California, Illinois, Washington • 🇺🇸 United StatesLead💰 $197,300 - $313,700 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Design and implement a robust data model that integrates data from core B2B systems
Collaborate with Data Engineering to design data models leveraging advanced Snowflake features
Enforce rigorous data cataloging and metadata standards
Ensure the data model is intuitive and accessible for all Data Scientists and Analysts

Requirements

What you’ll need

Master’s or Ph.D in Computer Science, Information Systems, or a related quantitative field
10+ years of hands-on data modeling, data architecture, or database design experience
5+ years of experience designing and implementing large-scale Enterprise Data Warehouses
Expert-level knowledge of dimensional modeling (Star/Snowflake schemas)
Extensive experience with marketing data domains
Proven, hands-on experience building and optimizing data models on a cloud-native data warehouse platform, deep expertise in Snowflake
Advanced proficiency with SQL and DDL/DML
Familiarity with ETL tools (e.g., dbt, Fivetran) and cloud services (AWS, GCP, or Azure)
Experience implementing Data Mesh principles
Exceptional communication skills

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingdata architecturedatabase designdimensional modelingSQLDDLDMLdata mesh principlescloud-native data warehouseSnowflake

Soft Skills

communication

Certifications

Master’s degreePh.D