Manager Engineering-Data

Are you ready to take your career to the next level? Regional strives to positively impact the financial lives of our customers.

For over 35 years, our Team Members have been passionate about supporting customers through their financial challenges in life. They take pleasure in finding solutions and lending a helping hand, both to our customers and our communities. As we continue to grow and become a national brand in consumer financing, we hope you'll consider us for future career opportunities.

If you are looking to make a meaningful impact in people's lives by bringing a personal touch to finances, join our team today!

Regional Management Corporation (RMC) is seeking an experienced, empathetic, and quality focused Data Engineering Manager to own the Data engineering efforts inside the Data Engineering team. This group leads the development of our Enterprise Datawarehouse/Data Lakes applications. The Data Engineering Manager will be passionate about data-driven information which will guide and influence key business decisions. This role will partner with the digital product management team as well as internal clients to understand business inquiries, drive requirements, propose solutions and deliver multiple cross-functional projects and integrations between different systems. This is a unique opportunity to build and institutionalize a best-in-class data ecosystem on premise or in the public cloud.

Does leading the engineering which ingests, processes, stores, and analyzes terabytes of interesting consumer data excite you? We're looking for you! Are you an experienced Software Engineering Manager? In this role, you'll both set direction and provide mentorship to our experienced engineers and work hands-on to solve sophisticated problems at big data scale. You'll be responsible for the development, quality and integrity of the data pipelines which deliver a diverse set of data types to other engineering teams at RMC. In this role you'll have a large impact on the entire RMC Software Engineering organization and ultimately help RMC improve, build, and deliver the products which consistently delight our users.

Key Qualifications

• Multiple years of Data Engineering management experience leading and supporting the development and maintenance of applications, tools, and processes. Core technical experience includes Data Integration, Data Management and Data Visualization.
• Experiencing in partnering with data architects in architecting, building, and maintaining complex, multi-component big data systems.
• Track record of building and leading high-performance Data engineering teams.
• Strong sense of ownership of the development process and the will to drive the team toward constant code, application, and process improvements.
• Excellent interpersonal skills and ability to collaborate effectively across multiple business and technical teams.
• Excellent problem solving, critical thinking, and social skills - Lead by example to empower and challenge the team to deliver their best.
• Shown ability to work under pressure while maintaining a high level of quality and integrity.
• BA/BS in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience. Master's degree a plus

Duties and Responsibilities

Technical:

• Serve as the technical expert responsible for the design, and implementation of Enterprise Data Warehouse & Business Intelligence solutions, with complete and accurate information information/data delivery using maintainable, systematic, and automated procedures.
• Drive the design, building, and launching of new data pipelines in production.
• Establish and maintain data marts where appropriate.

• Establish and define data integration, data validation, data cleansing, and data management practices.

Managerial:

• Provide leadership and management to a team of data engineers. You'll split your time between unblocking your team, vetting their designs, and coaching them to realize their full potential, while also building things yourself.
• Proactively mentor and grow the team, identify the required skills, hire the best talent, actively manage their performance, and help them to grow to their fullest potential.
• Proactively drive the vision for data engineering and define & execute on a plan to achieve that vision.
• Build cross-functional relationships with Data Scientists, Product Managers, Software Engineers, and leaders in Regional Managements business to understand data needs and deliver on those needs.
• Manage issues and bugs within the system using tracking/ support systems; liaise with internal and external resources to facilitate resolution and closure.

Minimum Qualifications

• 7+ years as a lead data engineer in developing & managing data pipelines using ETL/ELT tools and data visualization using business intelligence tools.
• 3+ years as a Data Engineering Manager managing multiple Agile Squads/Teams that works on multiple projects in an Agile environment.
• Hands-on Technologist - Experience developing solutions involving data lakes and/or data warehouse on Snowflake/AWS DataBricks/Amazon RedShift using tools such as SSIS, Azure Data Factory, AWS Glue, Matillion, DBT, FiveTran

Preferred Qualifications

• Experience with one or more of the following languages (Python, Scala) and related development tools to support Data Science initiatives.
• Experience with one or more of the following platforms: HDFS, Yarn, Spark, Impala, Kafka, HBase, MapReduce, Kubernetes, Object Store, Flink
• Managing a virtual team that works across different time zones.
• Prior experience in Consumer Lending Industry
• Certifications such as SnowPro Core/Advanced, AWS Solution Architect.

#LI-Remote

Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.