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. Solid 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

📌 Senior Staff Engineer (Sydney)
🏢 Synechron
📍 Sydney