Staff Data Engineer — Snowflake, dbt & AWS (Sydney)

Synechron; Melbourne; On-site; AUD 180,000 - 240,000; Full time

Job summary

Synechron in Sydney is seeking a hands-on Staff Data Engineer to design, build and optimize scalable data platforms using Snowflake, dbt, and AWS. You will lead the data engineering effort across projects, shaping architecture and ensuring reliable delivery.

The role requires strong experience with cloud data services, data modeling, and CI/CD workflows, plus mentoring engineers and guiding cross-functional teams through technical design reviews and performance tuning.

Qualifications

• Seven years of relevant data engineering experience
• Snowflake, AWS, and dbt expertise
• Hands-on Staff Engineer leading design and optimization of data platforms

Responsibilities

• Design scalable data pipelines and cloud-based data platforms
• Build and maintain data transformation workflows using dbt
• Develop data models, reusable macros, tests, documentation, and CI/CD processes
• Optimize Snowflake performance, security, and cost efficiency
• Use AWS services such as S3, Glue, Lambda, IAM, Kinesis, and Step Functions
• Implement data quality, governance, monitoring, and security standards
• Lead technical designs, code reviews, and architecture decisions
• Mentor engineers and collaborate with cross-functional teams
• Troubleshoot complex production and performance issues

Skills

Leadership

Mentoring

Cross-functional collaboration

Code reviews

Tools

Snowflake

dbt

AWS

Job description

Synechron in Sydney is seeking a hands-on Staff Data Engineer to design, build and optimize scalable data platforms using Snowflake, dbt, and AWS. You will lead the data engineering effort across projects, shaping architecture and ensuring reliable delivery.

The role requires strong experience with cloud data services, data modeling, and CI/CD workflows, plus mentoring engineers and guiding cross-functional teams through technical design reviews and performance tuning.