Data Analytics Architect

Sr. Data & Analytics Architect

Employment Type: Full-Time
Location: Arkansas
Reports To: Chief Technology Officer
Industry: Financial Technology (Fintech) – Managed Services

Role Overview

YourCode is seeking, on behalf of its client, a Sr. Data & Analytics Architect to bear responsibility for designing, implementing, and supporting scalable data solutions across transactional and analytical systems. This individual will provide technical leadership to cross-functional teams and stakeholders, ensuring the data architecture aligns with both operational and strategic business goals.

This role includes data warehouse design, architecture development, analytics implementation, data sourcing, and transformation. The architect will leverage modern data engineering practices and tools to define efficient processes that ensure data systems meet business objectives.

About the organization

Our client is a well-established software house specializing in managed services for the financial technology (fintech) sector. Their solutions support a growing portfolio of banks, credit unions, and fintech innovators by enabling secure, scalable, and intelligent financial operations.

As a primarily Microsoft-based environment, they leverage Azure and other Microsoft technologies to deliver robust, compliant, and future-ready data and analytics solutions. The company was founded by a team of seasoned entrepreneurs who have managed to successfully take the organization from inception to a public listing on the stock exchange — bringing a wealth of experience, vision, and executional excellence to this venture.

They are a growth-driven, mission-aligned organization focused on building resilient, client-centered data platforms that power decision-making and innovation across the financial services ecosystem.

Key Responsibilities

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Driving the roadmap for data engineering, business intelligence, advanced analytics, and AI/ML enablement;

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Designing and maintaining a modern data Lakehouse architecture using tools such as Azure Data Factory, Azure Databricks (Python, SQL), dbt (SQL, Jinja), and Power BI;

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Developing and optimizing OLTP and OLAP database structures;

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Promoting adoption of medallion architecture (bronze/silver/gold) and seamless integration between OLTP and OLAP systems;

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Establishing patterns and standards for data modeling (e.g. Kimball dimensional design) and transactional system design (e.g., SQL Server, DB2);

-Delivering data and analytics products to both internal and external stakeholders, with a focus on accuracy, performance, and regulatory compliance.