Manager, Data Architecture

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Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending.

Providing services in over 23 states, Purpose Financial employs over 2,500 team members.

At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.

We offer:

• Competitive Wages
• 401(k) Savings Plan with Company Match
• Company Paid Holidays
• Tuition Reimbursement
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

This position provides highly hands-on leadership and technical direction for enterprise data architecture initiatives across cloud environments.

This role drives the vision, design, and implementation of robust data systems, applying best practices in system design, architecture, and data modeling standards to maximize business and technical impact. This role will mentor and develop data architects and data engineers, ensuring the team delivers scalable, high-performance, and compliant data solutions that enable data-driven decision making to our enterprise-wide customers.

• Lead a team of data architects and engineers, providing technical guidance, coaching, and mentorship to elevate skills, collaboration, and delivery.
• Develop and execute the strategic vision and roadmap for data architecture, in alignment with the company’s overall objectives, while also driving hands-on technical execution on critical projects.
• Architect, design, and optimize data models, databases, data warehouses, and data lakes to support high-volume, complex analytics and transactional workloads.
• Champion and enforce data architecture best practices, standards, and modern design patterns to ensure the scalability, integrity, reliability, and performance of all data assets.
• Collaborate with cross-function teams, including software engineering, data science, and business domains to align data architecture initiatives with business requirements and technical objectives.
• Oversee design and implementation of ELT pipelines, master data, and enterprise data integration strategies with a focus on automation, resilience, and quality.
• Evaluate and recommend emerging data technologies, tools, and platforms to address evolving business needs and optimize cost, security, and scalability.
• Drive implementation of data governance frameworks, quality management processes, and metadata strategies for regulatory compliance and trusted decision-making.
• Model strong leadership and communication skills at all levels, fostering an environment of innovation, high technical standards, and continuous improvement.
• Provide oversight and hands-on subject matter expertise for POCs, demos, and architectural reviews, ensuring best-in-class architecture for cloud and hybrid environments.

Bachelor’s or master’s degree in computer science, engineering, or related field

• 10+ years’ experience in data architecture, data engineering, and database design with at least 2-years at a senior or hands-on lead/manage role.
• Demonstrated technical experience in advanced data modeling, cloud data platforms (AWS,…