Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
At Regions, the Data Engineer Manager focuses on the evaluation, design, and execution of data structures, processes, and logic to deliver business value through operational and analytical data assets. The Data Engineer Manager uses advanced data design and technical skills to work with business subject matter experts to create enterprise data assets utilizing state of the art data techniques and tools.
Primary Responsibilities
• Partners with Regions Technology to Design, Build, and Maintain the data-based structures and systems in support of Data and Analytics and Data Product use cases
• Designates and integrates Big Data tools and frameworks required to provide requested capabilities
• Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark.
• Coordinates design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other Technical partners to construct strategic and tactical data stores
• Ensures data is prepared, arranged and ready for each defined business use case
• Designs and deploys frameworks to serve data assets to data consumers
• Collaborates and aligns with technical and non-technical stakeholders to translate customer needs into Data Design requirements, and work to deliver world-class visualizations, data stories while ensuring data quality and integrity
• Provides consultation to all areas of the organization that plan to use data to make decisions. Support any team members in the development of such information delivery and aid in the automation of data products
• Acts as trusted adviser and partner to business leads- assisting in the identification of business needs & data opportunities, understanding key drivers of performance, interpreting business case data drivers, turning data into business value, and participating in the guidance of the overall data and analytics strategy
• Leads a team of analysts, technologists, and other resources to deliver report ready data (RRD) and model ready data (MRD) assets
• Owns accountability for the performance and results of the big data modeling team
• Promotes practices, technologies, and processes for big data modeling that align with departmental strategy
This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.
This position is incentive eligible.
Requirements
• Master's degree in Business or a technical related field and six (6) years of data-oriented experience including experience managing data and analytics resources
• Or Bachelor's degree in Business or a technical related field and eight (8) years of data-oriented experience including experience managing data and analytics resources
Preferences
• One (1) year of leadership, supervisory, or management experience
• Prior banking or financial services experience
• Experience developing solutions for the financial services industry
• Background in Big Data Engineering and Advanced Data Analytics
• Experience managing a Big Data team
Skills and Competencies
• Ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks
• Experience building data solutions at scale
• Experience designing and building relational data structures in multiple environments
• Experience with Airflow, Argo, Luigi, or similar orchestration tool
• Experience with DevOps principals and CI/CD.
• Experience with Docker and Kubernetes
• Experience with No-SQL databases such as HBase, Cassandra, or MongoDB
• Experience with streaming technologies such as Kafka, Flink, or Spark Streaming
• Experience working with Hadoop ecosystem building Data Assets at an enterprise scale
• Proven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data Assets
• Significant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision making
• Strong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks
• Strong background in synthesizing data and analytics in a large (fortune 500), complex, and highly regulated environment
• Strong technical background including database and business intelligence skills
Compensation Details
Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates in
Location: Birmingham, AL
Posted: Sept. 1, 2024, 7:12 a.m.
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