We are seeking a

Data Engineer to support and enhance a

Snowflake-based Data Platform hosted on AWS

. The ideal candidate will have experience in data engineering, platform support, and cloud-based data solutions, with strong hands-on expertise in

Snowflake, dbt, Data modelling, and AWS services

. The role will involve managing data platform operations, supporting project delivery, troubleshooting issues, and driving continuous improvements across the data ecosystem.

Key Responsibilities
Support the delivery, maintenance, and enhancement of Snowflake-based data solutions on AWS.
Monitor and manage Snowflake environments, ensuring platform stability, performance, and availability.
Develop, maintain, and support dbt transformations and data models.
Collaborate with Data Engineers, Architects, DevOps teams, and business stakeholders to deliver data platform initiatives.
Troubleshoot data pipeline, integration, and platform issues,



performing root cause analysis and remediation.
Implement platform monitoring, performance tuning, and cost optimization recommendations.
Assist with production deployments, release management, and environment support activities.
Maintain technical documentation, operational procedures, and project artifacts.

Required Skills
Experience working with

Snowflake Data Cloud in an AWS setting.
Robust understanding of AWS services including:
Amazon S3
IAM
CloudWatch
Lambda
SNS/SQS (preferred)
Hands-on experience with dbt for data transformation and modelling.
Robust SQL and data warehousing knowledge.
Experience working with ETL/ELT pipelines and cloud-based data platforms.
Familiarity with Git, CI/CD pipelines, and Agile delivery methodologies.
Enterprise Architecture

📌 Principle Data Engineer Snowflake, Dbt, Aws Sydney (Australia)
🏢 Synechron
📍 Australia