Data Modeler & Architect

Overview

As a Data Modeler & Architect, you’ll help drive Concora Credit’s Mission to enable customers to Do More with Credit – every single day.

The impact you’ll have at Concora Credit:

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.

Responsibilities

As our Data Modeler & Architect, you will:

Data Modeling & Design

• 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).

Master Data Management (MDM)

• 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.

Data System Integration

• 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.

Architecture & Governance

• 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. 

These duties must be performed with or without reasonable accommodation.

 

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

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 Apac