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# Senior Data Modeler (Snowflake)

- **Company:** EXPLEO LLC
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $199,680.0 - $220,480.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Data Analysis, Information Systems, Data Governance, Data Profiling, Data Security, Database Queries, JSON, Python (Programming Language), Meta-Data Management, Cloud Services, Enterprise Data Management, Snowflake, Semi-structured Data, Information Technology, Data Management
- **Published:** July 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1625818a3e9adea8

## About the Role

* 10+ years of experience in data modeling, data analysis, or advanced data roles
 * Strong expertise in conceptual, logical, and physical data modeling
 * Hands-on experience modeling data in Snowflake or similar cloud data platforms
 * Strong SQL skills for data analysis and validation
 * Experience with data profiling and data quality assessment
 * Ability to translate complex business concepts into structured data models
 * Familiarity with metadata management, lineage, and governance concepts
 * Strong communication skills across technical and non-technical audiences

Bonus Points If You Have

 * Python experience for data profiling or analysis
 * Experience working with columnar or lakehouse architectures
 * Ability to interpret semi-structured data (JSON, etc.)
 * Exposure to enterprise data standards or data cataloging tools

Education & Certifications You Need

 * Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
 * Data modeling or data governance certifications are a plus, but not required

## Description

* Lead the end-to-end data modeling lifecycle, from conceptual through physical models
 * Design logical and physical data models optimized for Snowflake and analytical workloads
 * Translate business requirements into clear, scalable data structures
 * Partner with data engineers to ensure models are efficiently implemented in Snowflake
 * Support model-to-source and model-to-target mappings
 * Ensure models support performance, scalability, and secure data access
 * Maintain data dictionaries, lineage documentation, and metadata artifacts
 * Collaborate with data governance teams on naming standards and data quality rules
 * Participate in design reviews, change management, and impact analysis for data changes


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