Senior AI-Driven DB Migration Engineer (Remote)

Slalom; Hartford (CT); Remote; USD 110,000 - 124,000; Part time

Benefits offered by this job

Meaningful time off

401(k) with match

Health, dental & vision coverage

Well-being reimbursement

Job summary

Slalom is seeking a Senior Database Migration Engineer to lead the modernization effort, migrating legacy databases to Amazon Aurora PostgreSQL within an AI-enabled framework. You will act as the technical authority for complex migration scenarios, ensuring data integrity from source to target across large-scale projects.

You will partner with cloud architects, AI engineers, and platform teams to resolve edge cases, validate conversions, and drive automation while maintaining data quality and

Qualifications

• 8+ years of experience in database engineering, administration, or migration initiatives.
• Extensive experience with legacy databases (DB2, Sybase ASE, Oracle).
• Proven track record migrating to PostgreSQL or cloud-native databases.

Responsibilities

• Lead troubleshooting of complex migration issues across DB2, Sybase, Oracle and other legacy platforms.
• Escalation point for AI-driven schema conversions, migrations, and reconciliation failures.
• Design and implement migration strategies from legacy databases to Amazon Aurora PostgreSQL.
• Support AWS DMS and SCT implementations, including full-load and CDC patterns.
• Validate schema transformations, procedures, queries, indexes, and data conversions.
• Identify migration edge cases and collaborate to improve automation and AI agents.

Skills

SQL development

Data validation

Relational database tuning

Tools

AWS DMS

AWS SCT

Job description

Slalom is seeking a Senior Database Migration Engineer to lead the modernization effort, migrating legacy databases to Amazon Aurora PostgreSQL within an AI-enabled framework. You will act as the technical authority for complex migration scenarios, ensuring data integrity from source to target across large-scale projects.

You will partner with cloud architects, AI engineers, and platform teams to resolve edge cases, validate conversions, and drive automation while maintaining data quality and