Sr. Data Engineer - Cloud & AI Platform

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. Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system. Job Description: At Regions, the Data Engineer 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 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 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 Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay. Requirements Ph.D. and four (4) years of experience in a quantitative/analytical/STEM field  Or Master’s degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field Or Bachelor's degree and eight (8) years of experience in a quantitative/analytical/STEM field or technical related field Five (5) years of working programming experience in Python/PySpark, Scala, SQL Five (5) years of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka Preferences Background in Big Data Engineering and Advanced Data Analytics   Experience developing solutions for the financial services industry Experience in Agile Software Development Experience or exposure to cloud technologies and migrations Prior banking or financial services experience Skills and Competencies Ability to interpret and ensure compliance with applicable rules, regulations, and industry guidance Experience building data solutions at scale Experience designing and building relational data structures in multiple environments Experience with DevOps principals, CI/CD, and Software Development Lifecycle Experience with No-SQL databases Experience with large-scale data Lakehouses at 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 Strong communication skills through written and oral presentations Experience in the following highly desired and preferred: Designing and deploying enterprise-grade Generative AI solutions leveraging modern LLMs preferably with Amazon Bedrock Developing advanced prompt engineering frameworks, incorporating context management, agent orchestration, skills integration, and response evaluation Implementing AI governance frameworks, including guardrails, compliance controls and enterprise risk management standards This position is intended to be onsite, now or in the near future . Associates will have regular work hours, including full days in the office three or more days a week.  The