About the Company : http://www.synechron.com

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets.

For more information on the company, please visit our website: www.synechron.com.

Key Responsibilities: We are seeking a Subject Matter Expert (SME) in Apache Airflow with proven experience in building and scaling data platforms. The ideal candidate will be responsible for designing, implementing, and maintaining robust data pipelines, ensuring reliability, scalability, and efficiency across our data ecosystem. This role requires a blend of hands-on engineering expertise and architectural vision.

? Key Responsibilities

- Design, develop, and optimize data pipelines using Apache Airflow.




- Architect and build scalable data platforms to support analytics, machine learning, and business intelligence needs.
- Collaborate with data engineers, analysts, and platform teams to ensure seamless data flow across systems.
- Implement best practices for workflow orchestration, scheduling, and monitoring.
- Drive automation and CI/CD integration for data workflows.
- Ensure platform reliability, performance, and security compliance.
- Provide SME-level guidance on Airflow usage, DAG design, and troubleshooting.
- Mentor junior engineers and contribute to knowledge-sharing across the team.

? Required Skills & Experience

- Solid expertise in Apache Airflow (designing DAGs, operators, sensors, plugins).
- Proven experience in building and managing data platforms at scale.
- Proficiency in Python and SQL for data engineering tasks.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Familiarity with data lake / warehouse technologies (Snowflake, BigQuery, Redshift, or similar).
- Strong understanding of ETL/ELT processes and workflow orchestration.
- Hands-on experience with CI/CD pipelines and DevOps practices.
- Excellent problem-solving and communication skills.

? Preferred Qualifications

- Experience with streaming frameworks (Kafka, Spark Streaming, Flink).
- Knowledge of infrastructure-as-code tools (Terraform, CloudFormation).
- Exposure to data governance, lineage, and observability tools.
- Prior experience in mentoring teams or leading platform initiatives.

📌 Site Reliability Engineer (Sydney)
🏢 Synechron
📍 Sydney