Data Engineer Manager [On-Site/Locations in posting]

Regions Bank•Birmingham, AL

10d•Onsite

About The Position

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.

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

Nice To Haves

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
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 large-scale analytical platform such as Hadoop or Snowflake 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

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