Manager, Data Engineering at Purpose Financial
Greenville, SC 29601, USA -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

06 Sep, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, Programming Languages, Airflow, Interpersonal Skills, Leadership, Computer Science, Machine Learning, Scala, Technical Proficiency, Middleware, Strategic Thinking, Architecture, Communication Skills, Cloud Services, Distributed Systems, Data Engineering, Python

Industry

Information Technology/IT

Description

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 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.

POSITION SUMMARY

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.

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 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 & NoSQL 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 analytics) for incorporating a combination of data services, technologies, and architectural patterns.
  • Practical understanding of middleware, event streaming, and distributed systems.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical business teammates.
  • Exceptional strategic thinking, leadership, and communication skills.
  • Knowledge of machine learning and data science concepts is required.

KNOWLEDGE REQUIRED

Excellent written and verbal communications skills; adaptability and flexibility to a 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.

PHYSICAL REQUIREMENTS

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.

Responsibilities
  • 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.
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