Cloud Data Engineer - AI Platform

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Job Description:
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

Assists with building 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.

Ensures data is prepared, arranged and ready for each defined business use case

Continuously seeks opportunities for growing knowledge and skills as it relates to daily tasks

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 two (2) years of experience in a quantitative/analytical/STEM field

Or Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field

Or Bachelor's degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field

Three (3) years of working programming experience in Python, Scala, SQL, and Terraform

Three (3) 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 with cloud technologies and migrations

Experience designing and building relational data structures in multiple environments

Experience with cloud-based orchestration tools

Experience with Data Modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault

Experience with DevOps principals, CI/CD, and Software Development Lifecycle

Experience with No-SQL databases

Experience leading technical projects from end to end

Experience mentoring junior associates on best practices (make helping/teaching an expectation)

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 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 Full time

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: $114,995.65 USD

Median: $146,400.00 USD

Incentive Pay Plans: Opportunity to participate in the Long Term Incentive Plan.

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. 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.

https://www.regions.com/about-regions/welcome-portal/benefits

Location Details Riverchase Operations Center

Location: Hoover, Alabama

Equal Opportunity Employer/including Disabled/Veterans

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.