About the Company: 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. 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. 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.

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📌 Site Reliability Engineer (Sydney)
🏢 Synechron
📍 Sydney