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.

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.

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.

Solid 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