Senior AWS IAM & Data Engineer

System One Holdings, LLC

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of hands-on experience with AWS IAM Identity Center and enterprise identity integrations.
  • Strong knowledge of AWS IAM features including roles, policies, and least-privilege access.
  • Proficient with AWS data services such as Redshift, S3, Glue, Athena, and Lake Formation.
  • Experience developing ETL/data pipelines and data transformation workflows.
  • Strong SQL skills for data analysis and troubleshooting.
  • Experience with Python and/or Shell scripting for workflow automation.
  • Familiarity with Terraform or CloudFormation for infrastructure automation.

Responsibilities

  • Configure and manage AWS IAM Identity Center and its associated identity services.
  • Support AWS IAM capabilities and troubleshoot access-related issues.
  • Develop and maintain AWS data ingestion and reporting workflows.
  • Build ETL/data pipelines utilizing AWS services like Glue and Lambda.
  • Develop SQL queries for data validation and reporting needs.
  • Automate data workflows and cloud management via Python/Shell scripting.
  • Collaborate with teams across security, cloud, data, and application engineering.

Benefits

  • Hybrid working environment with flexibility.
  • Exposure to advanced AWS technologies.
  • Opportunity to work within a large-scale financial services environment.
  • Potential for career advancement in a senior engineering role.
  • Collaboration with diverse expert teams in a supportive setting.
Full Job Description
Senior AWS IAM & Data Engineer
Job Type: Permanent Full-Time
Hybrid Lafayette, LA | Knoxville, TN | Columbia, SC | Birmingham, AL

Position Overview
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.
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.

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.

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