Senior Staff Engineer

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

Job summary

Synechron in Sydney seeks a hands-on Staff Engineer to lead design, development, and optimization of scalable data platforms using Snowflake, dbt, and AWS. You will mentor engineers and drive architecture decisions.

You will design and build scalable data pipelines, optimize performance, implement data quality, and collaborate with cross-functional teams to deliver robust cloud-based solutions.

Qualifications

• 10+ years of experience in data or software engineering.
• Strong expertise in Snowflake, dbt, AWS, SQL, and Python.
• Experience with data modeling, ETL/ELT pipelines, and cloud architecture.
• Knowledge of CI/CD, Git, DevOps, and Infrastructure as Code.
• Strong technical leadership, communication, and problem-solving skills.

Responsibilities

• Design and develop scalable data pipelines and cloud data platforms.
• Build and maintain data transformation workflows using dbt.
• Develop data models, 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

Technical leadership

Cloud architecture

Data modeling

SQL proficiency

Python programming

Tools

Snowflake

dbt

AWS

Airflow

Kafka

Spark

Terraform

Docker

Git

CI/CD

Job description

Note: A minimum of 07 years of experience is mandatory.

We are seeking a hands-on Staff Engineer to lead the design, development, and optimization of scalable data platforms using Snowflake, dbt, and AWS.

Key Responsibilities:

• Design and develop 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.

Required Qualifications:

• 10+ years of experience in data or software engineering.
• Strong expertise in Snowflake, dbt, AWS, SQL, and Python.
• Experience with data modeling, ETL/ELT pipelines, and cloud architecture.
• Knowledge of CI/CD, Git, DevOps, and Infrastructure as Code.
• Strong technical leadership, communication, and problem-solving skills.

Preferred Qualifications:

• Experience with Airflow, Kafka, Spark, Terraform, or Docker.
• SnowPro or AWS certification.
• Experience with data governance, streaming, and BI platforms.

Technical Skills:

Snowflake | dbt | AWS | SQL | Python | Airflow | Git | CI/CD | Terraform | Data Modeling