Data Engineer (Snowflake, DBT, AWS)

Synechron; City of Melbourne; On-site; AUD 110,000 - 160,000; Full time

Job summary

Synechron is seeking a Project Engineer to support and enhance a Snowflake-based data platform hosted on AWS. The role emphasizes hands-on data engineering, platform support, and cloud-native data solutions.

You will work with Snowflake, dbt, Airflow and AWS services to monitor, optimize, and deliver data platform initiatives while collaborating with data engineers, DevOps, and stakeholders.

Qualifications

• Hands-on experience building Snowflake-based data platforms on AWS.
• Strong data engineering and platform support skills.
• Experience with dbt transformations and Airflow workflows.
• Proficient SQL and data warehousing knowledge.
• Familiar with Git-based CI/CD and Agile delivery.

Responsibilities

• Support the delivery, maintenance, and enhancement of Snowflake-based data solutions on AWS.
• Monitor Snowflake environments for platform stability, performance, and availability.
• Develop, maintain, and support dbt transformations and data models.
• Support and optimize Apache Airflow workflows and data orchestration.
• Collaborate with Data Engineers, Architects, DevOps, and stakeholders to deliver data platform initiatives.
• Troubleshoot data pipeline, integration, and platform issues with root-cause analysis.
• Implement platform monitoring, performance tuning, and cost optimization.
• Assist with production deployments, release management, and environment support.
• Maintain technical documentation and project artifacts.

Skills

Snowflake Data Cloud

AWS services

dbt

Apache Airflow

SQL

ETL/ELT pipelines

Git CI/CD

Agile delivery

Data modeling

Problem solving

Stakeholder comms

Tools

dbt

Apache Airflow

Job description

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.
• 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.

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.