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Data Migration Development Lead (AWS) St. Louis, MO (JK)


Job Location:

Saint Louis, MI - USA

Monthly Salary: Not provided by the employer
Posted: 13 August 2026 (13 days ago)
Application Deadline: 10 November 2026
Vacancies: 1 Vacancy

Job Summary

We are seeking a Data Migration Development Leadto drive the design development and delivery of large-scale data migration solutions using the AWS platform. This role combines hands-on technical leadership with responsibility for migration architecture data engineering quality assurance and production cutover execution.

Key Responsibilities

  • Lead end-to-end data migration design development and implementation.
  • Build scalable ETL/ELT and migration frameworks using AWS services.
  • Design data extraction transformation cleansing validation loading and reconciliation processes.
  • Develop high-volume migration pipelines using AWS Glue S3 Lambda Step Functions DMS Redshift and RDS/Aurora.
  • Implement automated data quality audit reconciliation and monitoring controls.
  • Support multiple migration cycles including testing mock conversions and production cutovers.
  • Develop migration runbooks restart/recovery procedures and operational controls.
  • Establish CI/CD pipelines and Infrastructure as Code using Terraform CloudFormation or AWS CDK.
  • Lead code reviews technical design reviews and mentor migration developers.
  • Collaborate with architects business stakeholders and application teams to ensure successful migration outcomes.

Required Qualifications

  • 8 years of experience in data engineering ETL/ELT or data migration.
  • 3 years of experience leading technical teams or migration workstreams.
  • Strong expertise in AWS services Python SQL and PySpark.
  • Experience with data quality frameworks reconciliation and large-scale production migrations.
  • Strong knowledge of relational databases data modeling and performance optimization.
  • Experience in Agile delivery environments with strong troubleshooting and analytical skills.

Success Measures

  • Accurate and complete data migration with minimal production defects.
  • Successful cutover execution within planned timelines.
  • Automated reconciliation auditability scalability and reusability of migration frameworks.

Required Experience:

Senior IC


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