Data Architect Modeler

Build the Future with AspenView Technology Partners

At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.

As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.

Why Join AspenView?

At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people.

About the Role
AspenView is seeking a Senior Data Architect & Modeler with a strong functional and business profile to join a data modernization initiative for a financial services client. In this role, you will bridge the business and the data platform, leading the conceptual and logical design of industry data models that enable data-intensive applications and analytics across banking products, channels, and risk domains.

You will partner closely with business stakeholders, application teams, and data engineers to translate business requirements into robust dimensional models delivered through Data Mesh or Data Warehouse architectures. This is a full-time position, contractor agreement, with 100% dedication to the project, based in Buenos Aires, Argentina.

What You Will Do

• Dimensional Modeling Leadership: Lead conceptual and logical dimensional modeling for OLAP workloads, defining facts, dimensions, grain, and conformed structures that serve enterprise analytics and reporting.
• Product Domain Modeling: Design industry data models for core banking products, including checking and savings accounts, loans, debit and credit cards, time deposits, and bonds.
• Channels & Customer Domain Modeling: Model data for digital channels, contactability, branches, customer care, and customer experience, enabling an integrated view of customer interactions.
• Risk Domain Modeling: Define data structures supporting delinquency, recovery, anti-money laundering (AML), and credit risk use cases, in alignment with regulatory and business needs.
• Prescriptive Application Design Support: Provide prescriptive guidance for application design and analytical use cases, translating business requirements into data models that support data-intensive applications.
• Architecture Alignment & Collaboration: Partner with data engineers, domain teams, and business stakeholders to ensure models are implemented consistently across Data Mesh and Data Warehouse platforms, and validate designs with advanced SQL.