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

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

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;

Developing and optimizing OLTP and OLAP database structures;

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

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.

Ensuring adherence to data governance policies and standards, including those covering personally identifiable information (PII), PCI DSS, and other compliance frameworks;

Building and supporting ETL solutions, using SSIS and/or Azure Data Factory;

Designing, developing, and managing conceptual, logical, and physical data models;

Reviewing SQL queries for performance and scalability;

Managing automated data jobs and metadata repositories;

Performing impact analysis of changes to data structures;

Qualifications

Education & Experience:

Bachelor’s degree in Computer Science, Engineering, or related field/equivalent professional experience;

Minimum of 5 years of hands-on experience in data engineering, analytics, or data platform roles;

Skills & Knowledge:

Proficiency with Azure Databricks (Python, SQL, Delta Lake, Delta Live Tables), Azure Data Factory;

Strong command of dbt (SQL, Jinja) and Power BI for data transformation and reporting;

Deep understanding of:

OLAP: Dimensional modeling (Kimball);

OLTP: Database design in platforms such as SQL Server and DB2;

Familiarity with Git/GitHub, CI/CD practices, and Infrastructure as Code (e.g., Terraform);

Experience with data security, governance, and compliance (e.g., SPII, PCI DSS, SOC, GDPR), especially in regulated industries;

Proven ability to translate data insights into business value;

Demonstrated success in platform modernization and data infrastructure scaling;

Expertise with MS SQL Server, SSIS, and advanced SQL optimization techniques;

Ability to analyze business needs and translate them into functional and technical specifications;

Experience working with data lakes, data warehouses, and data migration strategies;

Knowledge of mainframe systems and DB2 is a plus;

Familiarity with Linux/Unix environments;

Strong understanding of ITIL, Agile, SDLC, and DevOps methodologies;

Willingness to provide on-call support as part of a rotation;

Experience preparing analytics environments for AI/ML workloads and real-time analytics;

Ability to enable secure data sharing and third-party integrations;

Strong awareness of current data and analytics trends (e.g., real-time analytics, open data formats, AI assistants, compliance tech);

Work Environment & Expectations

Employees in this role are expected to uphold a high standard of collaboration, respect, integrity, and service in all professional interactions, supporting a culture of empathy and optimism. These values are expected to be demonstrated both internally with team members and externally with partners and clients.

Next Steps

We understand that top talent moves fast — and so do we. The hiring process is designed to be pragmatic and efficient, with minimal unnecessary steps. If you’re interested in the role, we encourage you to apply directly or reach out to YourCode to schedule a quick introductory call. From there, we’ll move swiftly to determine alignment and next steps.