We are partnering with an enterprise client to execute large-scale legacy platform modernisation and database migrations into cloud environments. We are seeking an experienced Enterprise Cloud Data Migration Lead to represent our organisation and take technical ownership of end-to-end data migration planning, ETL pipelines, data reconciliation, and schema conversion.

In this role, you will bridge legacy database systems and contemporary cloud data warehouses/lakehouses. You will be instrumental in executing seamless cutovers from legacy on-premises platforms (Oracle, SQL Server, Teradata) to modern cloud targets (AWS, Azure, Snowflake, or Databricks), ensuring zero data loss and minimal operational disruption.

? Visa & Sponsorship Options As the employer of record, we provide full visa and migration support for qualified engineering talent deployed to our clients:

- 482 On-Hire Sponsorship Transfers: Fully supported for qualified candidates currently in Australia on an existing 482 visa looking to transfer sponsorship.
- New 482 Visa Sponsorship: Available for qualified candidates meeting commercial experience and technical requirements.
- Temporary & Working Visa Holders: Open to all working visa holders seeking a direct pathway to employer sponsorship.

Core Responsibilities
- Migration Strategy &

• Execution:

Architect, plan, and execute enterprise-grade database and data warehouse migration strategies from on-premises to the cloud.
- ETL/ELT Data Pipelines: Build robust migration, replication, and transformation pipelines using SQL,



Python, AWS DMS, Azure Data Factory, or native replication tools.
- Schema Transformation &

• Mapping:

Convert and optimise legacy schemas, stored procedures, and indexes for modern cloud targets (Snowflake, Databricks, PostgreSQL, or Synapse).
- Data Validation &

• Reconciliation:

Design automated reconciliation scripts, checksums, and validation frameworks to prove 100% data integrity and consistency.
- Cutover &

• Rollback Planning:

Author detailed dry-run runbooks, technical cutover sequences, and rollback protocols for production migrations.
- Stakeholder Alignment: Coordinate with client business leads, application owners, and infrastructure teams to ensure seamless data cutovers during planned maintenance windows.

Selection Criteria
- Data Migration Mastery: Proven commercial track record leading or executing large-scale data migrations to public cloud environments (AWS, Azure, or GCP).
- Database & SQL Depth: Expert-level SQL capabilities across relational and analytical engines (Oracle, SQL Server, PostgreSQL, Snowflake, or Teradata).
- Scripting & Pipeline Tools: Hands-on experience with migration tooling (AWS DMS, Azure Data Factory, GoldenGate, or custom Python/Spark pipelines).
- Reconciliation & Governance: Strong methodology in automated data validation, exception handling, and reconciliation frameworks.
- Location Requirements: Currently residing in Australia with valid work rights or eligibility for 482 visa sponsorship/transfer.

📌 Enterprise Cloud Data Migration Lead (Sydney)
🏢 AI Talent
📍 Sydney