Data Solution Architect – Snowflake & AWS

Data Solution Architect – Snowflake & AWS

Remote – Anywhere in Australia | 6-month contract

We are seeking an experienced Data Solution Architect to support a banking data modernisation program, moving on-premises data workloads to Snowflake on AWS.

This is a hands-on architecture role focused on defining the target data architecture, guiding migration and modelling decisions, and ensuring solutions are secure, scalable, resilient and operationally supportable.

About the role

You will:

• Assess current on-premises data landscapes, data flows, source systems and dependencies.
• Define target-state data architecture across ingestion, storage, transformation, modelling and consumption.
• Design batch, incremental and near-real-time data ingestion patterns across AWS and Snowflake.
• Guide the migration of existing data pipelines, transformations and workloads to the target AWS–Snowflake solution.
• Define data quality, lineage, metadata, governance and security requirements.
• Establish performance, scalability, availability, observability and cost-optimisation principles.
• Produce architecture diagrams, solution designs, data-flow diagrams, standards and decision records.
• Provide technical leadership, design assurance and architecture governance through implementation and managed-service transition.
• Collaborate with customer, engineering, security, governance and managed-service teams, as well as Snowflake and AWS.

About you

You will bring:

• Strong hands-on architecture experience with Snowflake, including warehouses, databases, schemas, tables/views, stages, Snowpipe, Streams and Tasks.
• Strong AWS data architecture knowledge, particularly data ingestion, storage and integration services.
• Deep understanding of data architecture, data warehousing, lake/lakehouse, ETL/ELT, data integration and enterprise data modelling.
• Experience migrating and modernising on-premises data platforms to cloud data platforms.
• Strong knowledge of dimensional and relational modelling, data products and semantic/consumption layers.
• Experience with data quality, metadata, lineage, catalogue and governance.
• Understanding of IAM/RBAC, encryption, data masking, privacy and auditability.
• Experience with CI/CD, DataOps, monitoring and operational readiness.
• Strong understanding of Snowflake performance and cloud cost optimisation.

Banking, financial services or other highly regulated enterprise experience is strongly preferred.

Snowflake and/or AWS certifications, TOGAF, Power BI/semantic models and data governance platform experience are advantageous.