Support the full data modeling lifecycle—from conceptual business models to physical implementations—ensuring accuracy, consistency, and alignment with enterprise data standards.
Collaborate with business stakeholders and Product Owners to define conceptual models that reflect real business processes and terminology
Develop logical data models including entities, attributes, constraints, and relationships
Translate logical models into physical schemas for relational, columnar, or lakehouse environments
Perform robust data profiling to assess quality, identify anomalies, and quantify data quality metrics
Support model-to-source and model-to-target mappings
Validate performance, scalability, and security considerations for physical models
Maintain data dictionaries, lineage documentation, and metadata artifacts
Assist Data Governance teams with taxonomy alignment, naming standards, and quality rules
Participate in design reviews, change control processes, and governance forums
Provide impact analysis for any structural or semantic data changes

Requirements

10+ years of experience in data analysis, data modeling, or related advanced data roles
Strong expertise in conceptual, logical, and physical data modeling
Experience with data profiling techniques and data quality frameworks
Ability to translate business requirements into structured data artifacts
Proficiency with SQL and data analysis methods
Working knowledge of governance, metadata management, and lineage
Excellent communication skills across both business and technical audiences
Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field
Data modeling or data governance certifications are beneficial but not required

Benefits

Competitive Compensation – You choose the model that works best for you, both with company-sponsored benefits!
Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
Paid Time Off – Both compensation models offer paid time away from work
Hybrid work flexibility with up to 3 days onsite in Minneapolis
Career development opportunities through mentorship, hands-on learning, and leadership engagement
Inclusive, supportive team culture built around integrity, collaboration, and professional excellence

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingdata analysisdata profilingSQLdata quality frameworksconceptual modelslogical modelsphysical schemasdata artifactsdata governance

Soft Skills

communication skillscollaborationimpact analysis

Certifications

data modeling certificationdata governance certification