Data Engineer (Snowflake, DBT, AWS)

Synechron; Sydney; On-site; AUD 100,000 - 150,000; Full time

Job summary

Synechron is seeking a Data Engineer to support a Snowflake-based data platform hosted on AWS. You will work on data engineering, platform support, and cloud-based data solutions, with hands-on experience in Snowflake, dbt, data modelling, and AWS services.

The role involves maintaining platform operations, troubleshooting, and driving continuous improvements across the data ecosystem. Key responsibilities include monitoring Snowflake environments, developing dbt models, collaborating with

Responsibilities

• Support Snowflake-based data solutions on AWS and maintain platform stability.
• Monitor Snowflake environments for performance and availability.
• Develop and support dbt transformations and data models.
• Collaborate with Data Engineers, Architects, DevOps, and stakeholders on platform initiatives.
• Troubleshoot data pipelines, integrations, and environment issues with RCA.
• Implement monitoring, performance tuning, and cost optimization recommendations.
• Assist with deployments, release management, and environment support.
• Maintain technical docs and project artifacts.

Skills

Snowflake Data Cloud

AWS

dbt

SQL

ETL/ELT pipelines

Git & CI/CD

Agile delivery

Job description

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 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.
• 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.