We are seeking a Project 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, Airflow, 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.
- Support and optimize Apache Airflow workflows and data orchestration processes.
- 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 environment.
- Solid understanding of AWS services including:
- Amazon S3
- IAM
- CloudWatch
- Lambda
- SNS/SQS (preferred)
- Hands‑on experience with dbt for data transformation and modelling.
- Experience supporting and developing Apache Airflow workflows.
- Strong 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.
- Strong problem‑solving, analytical, and stakeholder communication skills.

Preferred Skills

- Snowflake and/or AWS certifications.
- Experience with Python scripting and automation.
- Exposure to Terraform, DataOps, and cloud-native architecture patterns.

Key Attributes

- Proactive and solution‑oriented mindset.
- Strong collaboration and stakeholder engagement skills.
- Ability to balance project delivery activities with platform support responsibilities.
- Strong focus on operational excellence, reliability, and continuous improvement.

Nice to Have: Experience supporting enterprise data platforms leveraging Snowflake, dbt, Airflow, AWS Data Lake architectures, and modern cloud-native analytics solutions.

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📌 Project Engineer (Snowflake Data Platform – AWS) (Melbourne)
🏢 Synechron
📍 Melbourne