Data Architect

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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

Purpose Financial is seeking a skilled Data Architect to support data architecture initiatives across cloud environments. Data Architect will play a role in designing, implementing, and optimizing our data infrastructure, systems and solutions to support business objectives and technical requirements. We are committed to leveraging data-driven insights to drive innovation, enhance decision-making, and deliver exceptional value to our customers.

• Design, implement, and optimize data models, databases, data warehouses, and data lakes to support data storage, retrieval, and analysis needs.
• Support strategic vision and roadmap for data architecture, in alignment with the company’s overall objectives and goals.
• Define data architecture standards, best practices, and patterns to ensure the integrity, reliability, and scalability of our 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.

• Architect and implement data integration solutions, ETL pipelines, and data governance frameworks to ensure the accuracy, consistency, and security of data across all systems and processes.
• Design and implement master data management (MDM) strategies, data quality management processes, and metadata management solutions to enable data governance and compliance.
• Evaluate and recommend data technologies, tools, and platforms to optimize performance, cost, and scalability.
• Build a strong partnership with data engineering to ensure proper alignment fostering a culture of innovation, collaboration, and continuous learning.

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

• 3-5 years’ experience in data architecture, database design, and data management.
• Experience in data modeling, database technologies, data warehousing, and ingestion frameworks.
• Experience with No
  
  SQL, Kafka, Middleware, and cloud-based platforms (e.g., AWS, Snowflake)
• Experience designing and implementing callable, high-performance, and resilient data architectures for complex enterprise environments.
• Excellent leadership, communication, and interpersonal skills, with the ability to effectively collaborate with senior technology leaders at all levels of the organization.
• Demonstrated ability to think strategically, drive results, and navigate complex technical and organization challenges in a fast-paced, dynamic environment.
• Technical knowledge in data quality standards, governance, and design.
• Certifications (e.g., Certified Solutions Architect) are highly desirable.

Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.

Sitting for long periods…