Director, Data and Platform Engineering

Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601   

 

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 1,000 storefronts locations and online lending.  Providing services in over 20 states, Purpose Financial employs over 2,700 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
• Health/Life Benefits
• Health Savings Account plus Employer Seed
• 401(k) Savings Plan with Company Match
• 3 Weeks of Paid Parental Leave
• 11 Company Paid Holiday's
• Paid Time Off including Volunteer Time
• Vacation Carryover
• Tuition Reimbursement
• Work-Life Balance
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid)

To learn more about Purpose Financial visit Purpose Financial Website.

 

Position Summary

Purpose Financial is seeking a seasoned and strategic Director of Data and Platform Engineering to lead and evaluate our data engineering teams, while building and maintaining scalable cloud environments. The ideal candidate will bring a wealth of experience in architecting, managing scalable and innovative data platforms. Additionally, the director will contribute to the technical vision of the company and steer our data engineering initiatives. Strong understanding of cloud environments and native tooling. Strong understanding of architecture design patterns and experience with building robust ingestion frameworks and data services.

Job Responsibility

• Develop and communicate a forward-thinking strategic vision for the company’s data engineering initiatives.
• Design and architect scalable, high-performance data platforms to support the organizations data storage, processing, and analytic needs.
• Define data models, schemas, and standards for structure, semi-structure, and unstructured data sources, for interoperability across systems.
• Implement automation frameworks, workflow orchestration tools, and monitoring solutions to streamline data pipeline operations to ensure data quality and reliability.
• Collaborate with executive leadership to align platform strategies with overall business objectives.
• Lead, mentor, and inspire a high-performing team of data engineers & architects, while driving the professional development and growth of team members.
• Define and drive the evolution of the company’s platform architecture, ensuring scalability, reliability, and cutting-edge technology adoption.
• Promote a culture of continuous integration, development, and delivery.

Job Responsibilities Cont.

• Drive initiatives to improve platform efficiency and responsiveness while enhancing data efficiency and reliability.
• Evaluate, negotiate, and manage relationships with third-party vendors and service providers.
• Ensure cost-effective and reliable services that align with business goals.
• Collaborate with various departments, including product development, IT, and data teams to ensure seamless integration of data solutions for business teammates.
• Act as a technical leader and influencer across the organization.
• Drive a culture of innovation and continuous improvement within the data engineering & architecture teams, fostering collaboration and results-oriented environment.

Education Required

Bachelor’s degree in computer science or related field; master’s degree preferred.

Experience Required

• Minimum of 8 years of experience in a leadership role within data engineering, architecture, or related field.
• Strong leadership and managerial skills, with the ability to inspire and motivate multiple teams.
• Strong understanding of cloud computing platforms (e.g., Snowflake, AWS) and modern data architecture patterns and best practices.
• Strong understanding of open-source Apache tools (i.e., Nifi, Airflow, Kafka, Spark, etc.)
• Proficiency in programming languages such as Python, Java, or Scala with experience working with SQL & NoS