Senior AWS IAM & Data Engineer

About the role

We are seeking a Senior AWS IAM & Data Engineer to support enterprise cloud identity services and AWS-based data and analytics capabilities within a large-scale financial services environment. This role combines hands-on AWS IAM Identity Center expertise with data engineering and reporting responsibilities using AWS services such as Redshift, S3, Glue, Athena, and Lake Formation. This is a senior-level, hands-on engineering role requiring strong expertise across both AWS identity/access management and AWS data technologies.

Job Type: Permanent Full‑Time Hybrid. Locations: Lafayette, LA; Knoxville, TN; Columbia, SC; Birmingham, AL.

Responsibilities

• Configure and support AWS IAM Identity Center, including identity federation, permission sets, account assignments, account access, and enterprise identity integrations.
• Support AWS IAM capabilities including roles, policies, trust policies, permission boundaries, least-privilege access, cross-account access, and access troubleshooting.
• Develop and maintain AWS-based data ingestion, transformation, and reporting workflows.
• Build and support ETL/data pipelines using AWS services such as Glue, Lambda, Step Functions, and EventBridge.
• Work with AWS data technologies including Redshift, S3, Glue, Athena, and Lake Formation.
• Develop SQL queries for data analysis, validation, reporting, and troubleshooting data-quality issues.
• Automate cloud, IAM, and data workflows using Python and/or Shell scripting.
• Use Terraform or CloudFormation for AWS infrastructure and configuration automation.
• Troubleshoot complex identity, cloud, and data-related technical issues.
• Independently evaluate technical options and develop production-quality code and automation.
• Collaborate with security, cloud, data, and application engineering teams.

Requirements

• Required Qualifications
  • 5+ years of hands-on experience with AWS IAM Identity Center, including: Permission Sets, Account Assignments, Account Access, Identity Federation, Enterprise Identity Integrations
  • Strong hands-on knowledge of AWS IAM, including: IAM Roles, IAM Policies, Trust Policies, Permission Boundaries, Least-Privilege Access, Cross-Account Access, IAM Troubleshooting
  • Hands-on experience with AWS data services including: Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, AWS Lake Formation
  • Experience developing and supporting ETL/data pipelines, data ingestion, transformation, and orchestration.
  • Experience with AWS Glue, Lambda, Step Functions, EventBridge, or similar technologies.
  • Strong SQL skills for querying, analyzing, validating, and troubleshooting datasets.
  • Experience with Python and/or Shell scripting.
  • Experience with Terraform or CloudFormation.
  • Strong understanding of enterprise identity federation and AWS multi-account integration patterns.
  • Ability to independently troubleshoot complex technical problems and build production-quality solutions.
  • Strong communication and collaboration skills.
• Preferred Experience
  • Experience working within financial services or another highly regulated enterprise environment.
• Education
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field is required.