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, 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.

- Strong 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.

- Robust 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.

- Experience working in enterprise-scale AWS data platforms.

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.

📌 Data Engineer (Snowflake, DBT, AWS) (Sydney)
🏢 Synechron
📍 Sydney