Commonwealth Bank Group
Financial Services
PrincipalDataEngineer(AWS)
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“Principal Data Engineer (AWS) at Commonwealth Bank Group. Skills: Data Engineering, AWS, Cloud-native platforms, Model deployment. Define platform strategy. Architect cloud-native platforms”
What You'll Achieve.
Deliver models safely; Deliver models soundly; Deliver models securely; Embed controls; Embed lineage; Embed auditability; Improve reliability; Improve performance
Industry & Context.
Solving complex problems
What They're Looking For.
Must Have
Experience building cloud-native data and model platforms at scale, Experience productionising models or ML workloads, Experience building frameworks and tools that can significantly improve engineering productivity, Understand data integrity, reconciliation, and accuracy in financial systems, Can 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
Nice to Have
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, SQL and relational database experience
What You'll Do.
Define platform strategy
Architect cloud-native platforms
Build cloud-native platforms
Provide thought leadership
Consume enterprise data
Operationalise enterprise data
Lead engineering patterns
Partner with modelling teams
Influence architecture decisions
Influence engineering decisions
Set engineering standards
Uplift engineering practices
Contribute to culture
How You'll Work.
Team & Collaboration
Partner with modelling teams; Influence architecture across crews; Influence engineering across domains; Coordinate with internal stakeholders; Coordinate with consultants
Communication Scope
Educate; Communicate; Coordinate
Full Job Description
**Principal Data Engineer (AWS)** * **_You are_** _passionate about solving complex problem with the latest tech_ * ** _We 're_** _the largest and most advanced Data Engineering teams in the country._ * **_Together we_** _build tomorrow’s bank with world class engineering_ **Do work that matters** The Capital Provisioning Modelling Crew builds and runs the platforms that support how credit risk models are developed, validated, implemented, and monitored aligning to the Model Development Lifecycle Methodology (MDLC), processes, and procedures. The outcomes produced by these models are used in managing the Group Risk Management functions including front line business processes as well as for regulatory reporting including loss provisioning, portfolio analysis, and reporting. These are critical, model-driven systems operating under regulatory scrutiny, where accuracy, control and reliability are essential. As a Principal Engineer, you will shape the engineering direction for platforms that enable data consumption, model execution and deployment at scale, while meeting strong governance and control requirements. **See yourself in the team** You’ll be part of the Capital Provisioning Modelling Crew, working across credit risk modelling, data and platform engineering. The crew focuses on: * Consuming trusted data from enterprise data marketplace * Enabling model execution and orchestration at scale * Supporting SageMaker-based model deployment and ML workloads * Driving modernisation and decommissioning of legacy and sandpit environments * Delivering efficiencies into the framework and tools that can help deliver the models in a safe, sound, and secure way * Embedding controls, lineage and auditability by design **As a Principal Engineer, you will** * 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 contributes to the design of techn
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