Cloud Data Engineer On-Site, Birmingham

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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.

• 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

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

• Master's degree in quantitative/analytical/STEM field
• Or Bachelor's degree and two (2) years of experience

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

• 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 Dev Ops 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 working with senior executives in the use of data, reporting and visualizations to support strategic…