Description

Responsibilities

• Partners with Technology partners to Design, Build, and Maintain the data-based structures and systems in support of Data and Analytics and Data Product use cases
• Builds data pipelines to collect and arrange data and manage data storage in Regions big data environment
• 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 and micro services 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
• Supports 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

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

Requirements

• Bachelor's degree in Business or a technical related field
• Eight (8) years of data-oriented experience including experience managing data and analytics resources

Preferences

• Prior banking or financial Services experience
• Experience developing solutions for the financial services industry
• Background in Big Data Engineering and Advanced Data Analytics

Skills and Competencies

• 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

Key Skills

Education

Bachelor's degree