Manager, Data Engineering

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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

We are seeking a seasoned and strategic Manager, Data Engineering to lead and evaluate our data engineering team, 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 manager 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.

• Develop and communicate a forward-thinking strategic vision for the data engineering initiatives.
• Set the guidance and expectations for high-quality output, including rapid development and on-call/support response rates.
• Design and architect scalable, high-performance data platforms to support the organizations data storage, processing, and analytic needs.
• Manages stakeholder relationships and the team’s work in accordance with compliance, SLAs, and business requirements.
• 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, while driving the professional development and growth of team members.

• Define and drive the evolution of the architecture, ensuring scalability, reliability, and cutting-edge technology adoption.
• Promote a culture of continuous integration, development, and delivery.
• 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.

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

• 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 development experience in cloud computing platforms (e.g., Snowflake, AWS, DBT) and modern data architecture patterns and best practices mandatory.
• Performs 4-6 hours of development daily along with managing the workloads for the team.
• 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 & No
  
  SQL databases.
• Strong technical proficiency in cloud technologies, ingestion frameworks, architecture, and automation.
• Strong understanding of cloud data architectures (e.g., cloud services, micro services, data…