Job no: GBYAE
- Offices located in Sydney CBD
We’re looking for a Senior Data Solutions Architect to lead the modernisation of their data and analytics platform as they strive to become the world’s best AI-driven bank.
- Work directly with IT and business leaders on cutting-edge cloud-native solutions.
- Define technology blueprints and roadmaps for a multi-year data transformation.
- Be at the forefront of AI-driven banking and modern data architecture.
Key Responsibilities:
- Architect and implement modern data stacks with AWS, Snowflake, and Redshift.
- Design data ingestion, transformation, and integration pipelines.
- Develop scalable solutions using Python, SQL, Airflow, Glue, and Terraform.
- Work with event-driven architectures (Kafka, AWS Kinesis).
- Ensure observability with Splunk, Grafana, or Prometheus.
- Collaborate with business teams on data visualisation (Tableau, Power BI).
Must-Have Skills & Experience:
- 8+ years of hands-on experience with modern data platforms.
- AWS Solutions Architect certification & deep expertise in AWS services.
- Experience an AWS platform Engineer - Glue, DataZone, S3, Airflow
- Strong experience with Redshift, Snowflake, Data Warehouse, and Data Engineering core skill required, Aurora PostgreSQL.
- Experience in Lead containerisation efforts with Docker and Kubernetes.
- Proven background in CI/CD pipelines (GitHub/Jenkins).
- Expertise in Parquet, Iceberg tables, and DBT/Ab Initio.
- Markets domain knowledge (Murex, MRE, Wallstreet datasets) is a plus.