Use agentic and AI-assisted workflows for conversion, test generation, analysis, and documentation while verifying outputs
Review engineers' database work, mentor engineers, and document architectural decisions
Requirements
10+ years in database engineering, administration, or data platform work
Several years in an architect or principal-level role with design authority over business-critical systems
Deep Oracle expertise, including PL/SQL, partitioning, RMAN, Data Guard, AWR, ASH, execution plans, optimizer statistics, and SQL tuning
Strong PostgreSQL expertise, including PL/pgSQL, EXPLAIN ANALYZE, index strategy, partitioning, autovacuum, bloat management, connection pooling, replication, WAL, PITR, and production extensions
Both Oracle and PostgreSQL are required
Experience architecting and delivering Oracle-to-PostgreSQL migrations to production
Cloud infrastructure depth, ideally AWS, including RDS, Aurora PostgreSQL, RDS for Oracle or Oracle on EC2, VPC, IAM, KMS, Secrets Manager, CloudWatch, and Performance Insights
Infrastructure-as-code and automation using Terraform or CloudFormation, plus Python, Bash, or PowerShell
Ability to read application code and understand database interactions
Practical experience with agentic AI tooling in technical delivery workflows
Executive-ready communication skills
Migration tooling experience with AWS Schema Conversion Tool, AWS DMS, ora2pg, or equivalents is preferred
Experience with MSSQL or other relational engines is preferred
Exposure to hybrid and private cloud environments is preferred
Managed services or 24/7 operational accountability is preferred
Consulting or MSP background with North American enterprise clients is preferred
Experience with .NET application teams is preferred
Data protection and compliance exposure is preferred
Observability tooling and database change management experience is preferred
Relevant certifications are a plus but do not substitute for demonstrated migration outcomes
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