Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Principal Data Engineer (AWS) role.
Rezi rewrites your resume against Commonwealth Bank's job description. Free.
Tailor your resume to this Principal Data Engineer (AWS) role.
Rezi rewrites your resume against Commonwealth Bank's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Principal Data Engineer (AWS) posting at Commonwealth Bank — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Principal Data Engineer (AWS) posting at Commonwealth Bank — free, in seconds.
About the Role
The Capital Provisioning Modelling Crew builds and runs platforms that support credit risk model development, validation, implementation, and monitoring. As a Principal Engineer, you will shape the engineering direction for platforms enabling data consumption, model execution, and deployment at scale, while meeting strong governance and control requirements.
Responsibilities
- Define and drive platform strategy for capital provisioning modelling
- Architect and build cloud-native platforms (AWS) supporting model and data workloads
- Provide thought leadership and contribute to the design of technical solutions and consumption patterns, including data security and data management
- Design solutions that consume and operationalize enterprise data marketplace assets
- Lead engineering patterns for model and ML deployment, orchestration and monitoring
- Drive migration from legacy platforms to strategic, governed environments
- Ensure alignment with Model Risk Management, regulatory and audit requirements, including data lineage, traceability, reproducibility of model outputs, strong controls and validation
- Partner with modelling teams to productionize models and improve reliability and performance
- Influence architecture and engineering decisions across crews and domains
- Set and uplift engineering standards and practices
- Mentor engineers and contribute to a high-performing engineering culture
Requirements
- Strong experience building cloud-native data and model platforms at scale
- Experience productionizing models or ML workloads
- Experience in building frameworks and tools that can significantly improve engineering productivity
- Understand data integrity, reconciliation, and accuracy in financial systems
- Ability to influence across teams and align stakeholders on technical direction
- Natural drive to educate, communicate, and coordinate with different internal stakeholders and consultants
- Comfortable balancing technical debt with long-term platform strategy
Skills
- AWS (S3, EMR, Glue, Lambda, Redshift, SageMaker or similar)
- Snowflake or enterprise data platforms / data marketplace patterns
- Python, PySpark and distributed data processing
- Batch and streaming data pipelines (e.g. Airflow, Spark, Glue)
- CI/CD, automated testing and infrastructure-as-code
- Observability, monitoring and reliability practices
- Strong SQL and relational database experience
Location
- Melbourne
- Perth
- Australia
Work Type
- Flexible work locations
- At least half their time each month connecting in office
- Changing start and finish times
- Part-time arrangements
- Job share
Experience Level
- Principal Engineer
About the Company
- We're the largest and most advanced Data Engineering teams in the country.
- Together we build tomorrow’s bank with world class engineering.
- Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations.
- One where we’re driven by our values, and supported to share ideas, initiatives, and energy.
- One where making a positive impact for customers, communities and each other is part of our every day.