Principle Data Architect

At EZCORP we are a growing team focused on creating and changing the pawn industry as we know it today. We believe that our platform enabled lending and e-commerce solutions will revolutionize our ability to attract, engage and service our customers across the United States, Mexico and Latin America.

Join us now for an opportunity to be a part of a team that wants to provide access to short-term cash for every person – everywhere!

The Company:

Founded in Austin in 1989, EZCORP has grown into a leading provider of pawn loans in the United States, Mexico and Latin America. We are dedicated to satisfying the short-term cash needs of consumers who are both cash and credit constrained and providing an industry-leading customer experience.

What’s in it for you:

Ground Floor opportunity with EZCORP, a company with a start-up, purpose-driven mentality where innovative and agile problem solving are part of our DNA along with competitive compensation and benefits.

Address:

The Principal Data Architect is responsible for shaping the enterprise data strategy, architecture, and governance across the organization. Reporting directly to the CTO, this role ensures that data is structured, secure, and optimized for reporting, analytics, and decision-making. Acting as a technical thought leader, the Principal Data Architect partners with business and technology teams to design scalable, modern data platforms that enable insights and long-term growth.

ESSENTIAL DUTIES & RESPONSIBILITIES:

Data Architecture & Strategy

• Define and maintain the enterprise data architecture, ensuring integration across operational, financial, and customer systems.
• Develop roadmaps to modernize legacy systems and transition toward cloud-based, scalable data solutions.
• Align data architecture with organizational priorities, compliance requirements, and long-term business objectives.

Data Platforms & Reporting

• Architect and optimize data warehouses, lakes, and pipelines to support reporting, analytics, and BI tools.
• Ensure data models support business-critical reporting, KPIs, and performance dashboards.
• Collaborate with IT and business teams to standardize reporting frameworks and self-service analytics.

Governance & Quality

• Establish and enforce data standards, quality metrics, and master data management practices.
• Partner with security and compliance teams to ensure adherence to privacy, regulatory, and audit requirements.
• Define metadata, lineage, and cataloging practices to improve trust and transparency in data.

Innovation & Modernization

• Evaluate emerging data technologies, including cloud-native services, AI/ML platforms, and automation tools.
• Recommend innovative approaches to improve data accessibility, speed, and reliability.
• Drive continuous improvement in reporting and analytics capabilities.

Cross-Functional Collaboration

• Partner with business leaders, finance, HR, and operations to translate requirements into scalable data solutions.
• Collaborate with IT peers on integration, infrastructure, and application development alignment.
• Serve as a subject matter expert and advisor to the CTO on data and reporting strategy.

Documentation & Standards

• Create technical documentation including data dictionaries, models, and architectural diagrams.
• Establish repeatable design patterns for data pipelines, transformations, and reporting.

EDUCATION & EXPERIENCE

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or equivalent experience.
• 10+ years of progressive experience in data architecture, data engineering, or enterprise reporting roles.
• Proven expertise in data warehousing, BI platforms, and enterprise reporting tools (e.g., Power BI, Tableau, Looker).
• Strong proficiency with SQL, ETL frameworks, and cloud data services (Azure Synapse, AWS Redshift, GCP BigQuery).
• Hands-on experience with data modeling, governance, and master data management.
• Solid knowledge of data security, compliance, and regulatory requirements.
• Excellent problem-solving skills with the ability to translate business needs into scalable technical designs.
• Strong communication and collaboration skills, with the ability to influence technical and business stakeholders.
• Advanced certifications in cloud data platforms (Azure, AWS, GCP).
• Experience implementing enterprise-scale modernization programs, including migration to cloud-native data platforms.
• Familiarity with AI/ML data pipelines, predictive analytics, and automation frameworks.
• Exposure to DevOps and DataOps practices for CI/CD in data environments.

EZCORP is an Equal Opportunity Employer