Credit Acceptance
Senior Data Modeler
USA - Remote · Senior
Sponsorship not specified$114k-$167kDetected 30 days ago
ExpressData StructuresSQLDatabricksdbtData EngineeringAgentic AIComplianceUnityLeadershipCommunicationCollaboration
About the role
- Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories.
- Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team.
- Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country.
Responsibilities
- Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment.
- Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly.
- Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions-business definitions, relationships, and constraints.
- Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns).
- Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams.
- Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC.
- Support model review processes, change management, and data quality efforts.
- Shared goals, open communication and mutual support create a sense of collective purpose.
Requirements
- 8+ years of experience in data modeling, data architecture, or analytics engineering roles
- Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF)
- Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar)
- Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar)
- Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks
- Attendance as required by department
Nice to have
- Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog)
- Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)-deep expertise not required, but curiosity and willingness to learn is essential
- Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns
- Familiarity with Data Vault methodology
- Experience in financial services, auto lending, or regulated industries
- Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks
Compensation
- A competitive base salary range from $114,000 - $167,000.
- This position is eligible for an annual variable cash bonus, between 7.5 - 15%.
- Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
Benefits
- Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
Company info
- To be successful in this role,
- Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.
- Play the video below to learn more about our Company culture.
- Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business.
Equal opportunity
- As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce.
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This listing is sourced directly from Credit Acceptance's careers page and normalized into a canonical job model.