Lead end-to-end data migration from legacy on-premises systems to modern cloud platforms. Architect migration strategies, ETL pipelines, and schema transformations for enterprise-scale projects. Ensure zero data loss and minimal operational disruption during cloud transitions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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 modern 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.
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.
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- 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.
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- 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.
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