Job Requirements
We are seeking a Database Migration Engineer to lead the migration of database workloads from Microsoft Azure to AWS. The role works across multiple workstreams, coordinating with application, infrastructure, security, and testing teams to ensure data is moved accurately, securely, and with minimal business disruption. The successful candidate will use Skylift AI or comparable migration tools to accelerate assessment, conversion, and cutover activities.
Key Responsibilities
Assess source databases on Azure (such as Azure SQL, Azure Database for PostgreSQL or MySQL, and Cosmos DB) and define target architectures on AWS (such as RDS, Aurora, DynamoDB, or Redshift).
Plan and execute database migration waves, including schema conversion, data replication, validation, and cutover.
Use Skylift AI or similar migration tools to automate discovery, schema and code conversion, and migration tracking, and document any limitations or manual adjustments required.
Collaborate with application, DevOps, networking, security, and QA workstreams to align dependencies, timelines, and rollback plans.
Define and run data validation and reconciliation checks to confirm integrity and completeness after each migration stage.
Identify performance, licensing, and compatibility risks, and recommend mitigations.
Produce runbooks, migration status reports, and knowledge transfer material for operations teams.
Support post-migration tuning, cost optimization, and decommissioning of Azure resources.
Required Qualifications
Hands-on experience with database migrations, preferably from Azure to AWS or another cloud-to-cloud migration.
Strong working knowledge of SQL Server, PostgreSQL, MySQL, or Oracle, including schema design, stored procedures, and indexing.
Practical experience with AWS database services such as RDS, Aurora, DMS, and DynamoDB.
Familiarity with Azure database services and their dependencies (Azure Active Directory, VNets, Private Endpoints).
Experience using migration tooling, including Skylift AI or comparable platforms (for example, AWS Schema Conversion Tool or AWS DMS).
Ability to work across multiple workstreams and communicate clearly with technical and non-technical stakeholders.
Proficiency in scripting for automation (Python, PowerShell, or Bash).
Work Experience
15-30Years
