Data Modeler & Architect

Concora Credit Inc.•Beaverton, OR

About The Position

We are seeking a skilled and strategic Data Modeler with a strong foundation in data architecture to join our Data Architecture department. In this role, you will be at the center of designing and governing our enterprise data models, driving Master Data Management (MDM) initiatives, and enabling seamless data system integration across our Databricks-powered lakehouse environment. You will collaborate closely with data engineers, analytics engineers, and business stakeholders to ensure our data assets are well-structured, consistent, and fit for purpose. We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We’re an established company with over 20 years of experience, but now we’re taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Requirements

3+ years of experience in data modeling, data architecture, or a closely related role.
Proven expertise in relational, dimensional, and NoSQL data modeling techniques.
Hands-on experience with Master Data Management (MDM) strategies, tools, and governance practices.
Solid proficiency in SQL — including complex queries, schema design, and query optimization.
Experience with Python for data transformation, automation, and scripting.
Working knowledge of Apache Spark and distributed data processing concepts.
Practical experience with Databricks, including Delta Lake, Unity Catalog, and lakehouse architecture (bronze/silver/gold).
Experience designing data integration models for heterogeneous source systems.
Familiarity with data modeling tools such as Erwin, DBeaver, DataGrip, and similar.
Strong communication skills, with ability to present complex data concepts to both technical and non-technical audiences.
Excellent project management and cross-functional communication skills, with the ability to align technical and non-technical stakeholders
Strong advocate for CI/CD-driven delivery, with a focus on measurable security, performance, and quality outcomes

Nice To Haves

Experience with data catalog and lineage tools (e.g., Alation, Collibra, Unity Catalog).
Knowledge of data mesh principles and domain-oriented data ownership.
Exposure to streaming data architectures (Kafka, Spark Streaming, Delta Live Tables).
Familiarity with cloud platforms such as AWS, Azure, or GCP in the context of data infrastructure.
Databricks Certified Associate or Professional certification.
Background in ontology design or semantic data modeling.

Responsibilities

Design and maintain conceptual, logical, and physical data models that support enterprise data strategy and business requirements.
Develop and enforce data modeling standards, best practices, and naming conventions across the organization.
Create and manage dimensional models (star/snowflake schemas) optimized for analytics workloads on Databricks.
Collaborate with data engineers to translate logical models into efficient physical implementations within the Databricks lakehouse (bronze, silver, gold layers).
Lead the design and implementation of MDM frameworks, including entity resolution, golden record creation, and data stewardship workflows.
Define and manage master data domains such as Customer, Product, Partners, and Location.
Partner with business units to identify authoritative data sources and resolve data conflicts across systems.
Govern master data lifecycle — creation, maintenance, retirement — and enforce data quality rules.
Architect data models that support data ingestion from multiple source systems (ERP, CRM, third-party APIs, etc.) into the lakehouse.
Design canonical data models to enable consistent representation of shared entities across integrated systems.
Work with data engineering and BI teams to ensure data contracts, schemas, and transformations align with enterprise data standards.
Support event-driven and batch integration patterns, ensuring model compatibility with streaming and batch pipelines.
Contribute to the enterprise data architecture roadmap, aligning data modeling efforts with strategic technology initiatives.
Maintain a centralized data model repository and keep documentation current across all model versions.
Participate in data governance forums, providing modeling expertise to support data cataloging, lineage, and quality initiatives.
Conduct data model reviews and provide mentorship to junior modelers and data engineers on modeling principles.

Benefits

Medical, Dental and Vision insurance for you and your family
Paid Time Off (PTO)
6 company-observed paid holidays, plus 3 paid floating holidays
401k (after 90 days) plus employer match up to 4%
Pet Insurance for your furry family members
Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
Tuition Reimbursement
Flexible Spending Accounts
Life and AD&D Insurance
company-paid Long-Term Disability and voluntary Short-Term Disability