At Regions, the Cloud Data Engineer supports the Data and Analytics organization by assisting in the design, optimization, and development of data pipelines and machine learning models.  The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models. This role supports software developers, database architects, data analysts, and data scientists on data initiatives and ensures optimal data delivery architecture is consistent throughout ongoing projects.

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 environments
• Builds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker
• Builds applications that integrate with AI, including knowledge base management and document processing.
• Designs and implements event-based architectures for streaming data
• 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 leaders; 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
• 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, and Terraform
• Five (5) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake

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 cloud technologies and migrations
• Experience with cloud-based orchestration tools
• Experience with DevOps principals, CI/CD, and Software Development Lifecycle
• Experience with No-SQL databases
• Experience working with cloud services at an enterprise scale, including data engineering with private networking and zero-trust computing
• Proven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data Assets
• Significant experience leading technical projects from end to end
• Significant experience mentoring junior associates on best practices (make helping/teaching an expectation)
• Significant experience with Data Modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault
• 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 communication skills through written and oral presentations
• Strong technical background including database and business intelligence skills

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 manager will set the work schedule for this position, including in-office expectations.  Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are Birmingham, AL, Atlanta, GA or Charlotte, NC.

Regions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full-time basis.

Position Type

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 include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.

The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.

Job Range Target:

Minimum:

Median:

Incentive Pay Plans:

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.

• Paid Vacation/Sick Time

• 401K with Company Match

• Medical, Dental and Vision Benefits

• Disability Benefits

• Health Savings Account

• Flexible Spending Account

• Life Insurance

• Parental Leave

• Employee Assistance Program

• Associate Volunteer Program

Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.

Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.