Senior Data Modeler, Snowflake

Jobtailor; Minneapolis (MN); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor in Minneapolis seeks a senior data modeler to own end-to-end data modeling lifecycle, with a focus on Snowflake and analytical workloads.

You will translate business requirements into scalable data structures, collaborate with data engineers to implement models in Snowflake, ensure performance and governance, and maintain metadata artifacts.

Qualifications

• 10+ years of experience in data modeling, data analysis, or advanced data roles.
• Strong expertise in conceptual, logical, and physical data modeling.
• Hands-on Snowflake or similar cloud platform experience.
• 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 across technical and non-technical audiences.
• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
• Must be authorized to work in the United States
• English essential
• Python experience for data profiling is a bonus
• Experience with data cataloging tools is a bonus
• Data modeling or data governance certifications are a plus

Responsibilities

• Lead end-to-end data modeling lifecycle from concept to physical models.
• Design logical and physical models for Snowflake and analytics workloads.
• Translate business requirements into scalable data structures.
• Partner with data engineers to implement models 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 on naming standards and data quality rules.
• Participate in design reviews, change management, and impact analysis for data changes

Skills

Data Modeling

Snowflake

SQL

Data Profiling

Data Governance

Metadata Management

Data Lineage

Data Quality

Data Structures

Communication

Education

Bachelor's degree

Tools

Snowflake

JSON

Lakehouse Architectures

Columnar Architectures

Job 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

Requirements

• 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
• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field
• Must be authorized to work in the United States
• English essential
• Python experience for data profiling or analysis is a bonus
• Experience working with columnar or lakehouse architectures is a bonus
• Ability to interpret semi-structured data (JSON, etc.) is a bonus
• Exposure to enterprise data standards or data cataloging tools is a bonus
• Data modeling or data governance certifications are a plus, but not required

Core Competencies

Demonstrates extensive expertise in data modeling, including conceptual, logical, and physical models, with a strong focus on Snowflake and analytical workloads. Proficient in translating business requirements into scalable data structures while ensuring data quality and governance.

Highest-signal resume keywords

• Data Modeling Expertise
• Snowflake Proficiency
• Strong SQL Skills
• Data Quality Assessment
• Data Governance Familiarity

ATS Optimization Keywords

Hard Skills

• Data Modeling
• Data Analysis
• SQL
• Data Profiling
• Data Quality Assessment
• Metadata Management
• Data Lineage
• Data Structures
• Data Governance
• Data Cataloging

Soft Skills

• Strong Communication Skills

Certifications & Qualifications

• Data Modeling Certifications
• Data Governance Certifications

Industry Keywords

• Data Management
• Data Governance
• Data Quality
• Data Standards
• Analytical Workloads

Tools & Technologies

• Snowflake
• Columnar Architectures
• Lakehouse Architectures
• JSON