Chief Engineer - Engineering Data Platform

Commonwealth Bank Of Australia; New South Wales; On-site; AUD 180,000 - 240,000; Full time

Job summary

Commonwealth Bank of Australia is seeking a Chief Engineer for the Engineering Data Platform. You will define the technical direction, target architecture and standards for a data platform that enables data-driven decision making, engineering intelligence and AI-enabled capabilities across the organisation.

You will mentor engineers, shape governance and security, and partner with senior stakeholders across Engineering Platform, CTO, Group Data and Risk to deliver scalable, resilient data

Qualifications

• Extensive experience in senior engineering leadership roles.
• Deep expertise in cloud-native data or engineering platforms.
• Ability to translate business, risk and technology into strategy.
• Proven delivery in regulated environments.
• Strong stakeholder influence and leadership skills.

Responsibilities

• Define roadmap, architecture and guardrails for the Engineering Data Platform.
• Lead cloud-native data platform delivery and reliable data products.
• Deliver engineering intelligence through data patterns and dashboards.
• Ensure governance, security, risk and quality across the platform.
• Drive DevSecOps, DataOps, automation and reliability practices.
• Mentor engineers and uplift engineering capability across the platform.

Skills

Senior leadership

Cloud-native platforms

Stakeholder influence

Decision making in ambiguity

Engineering culture

Job description

Do work that matters:

We are building tomorrow’s bank today, which means we need world-class engineers to modernise, secure and scale our technology capabilities. Engineering data is a strategic asset that powers software delivery, operational resilience, technology risk management, service health, security automation and developer experience.

The Chief Engineer – Engineering Data Platform will be a core technical leader shaping the roadmap and architecture of the CTO Engineering Data Platform. This role will establish trusted, governed and reusable engineering data products that enable data-driven decision making, engineering intelligence and AI-enabled engineering capabilities across the organisation.

See yourself in our team:

Reporting to the General Manager Engineering Platform, you will define the technical direction, target state architecture and engineering standards for the Engineering Data Platform. You will work across Engineering Platform, CTO, Group Data, Architecture, Risk, Security and Service Management to deliver scalable, resilient and secure data platform capabilities.

As a Chief Engineer, you will operate as a senior technical authority and trusted advisor-leading through technical depth, strong architectural judgement and enterprise influence, while mentoring engineers and uplifting engineering practices across the platform.

Responsibilities:

• Technical Strategy and Architecture - Define roadmap, architecture and guardrails.
• Engineering Data Platform Delivery - Lead cloud-native data platform capabilities.
• Data Products and Engineering Intelligence - Deliver trusted data products and insights.
• Data Governance, Security and Risk - Ensure quality, lineage and compliance.
• Engineering Excellence - Champion DevSecOps, DataOps, automation and reliability.
• Stakeholder Engagement - Influence senior stakeholders and translate needs into outcomes.
• Innovation, AI and Automation - Enable AI and data-driven engineering.
• Leadership and Capability Uplift - Mentor and build engineering capability.

We’re interested in hearing from people who:

• Extensive experience in senior engineering leadership roles.
• Deep expertise in cloud-native data or engineering platforms.
• Ability to translate business, risk and technology into strategy.
• Proven delivery in regulated environments.
• Strong stakeholder influence and leadership skills.
• Ability to work in ambiguity and make sound decisions.
• Passion for high-performing, inclusive engineering cultures.

Technical Skills and Experience:

• Data Platform Architecture - Lakehouse, data mesh, domain-aligned products.
• Data Engineering & DataOps - Ingestion, CI/CD, testing and observability.
• Cloud Platforms - AWS, containers, serverless and infrastructure as code.
• Governance & Security - Data quality, lineage, privacy and compliance.
• Engineering Intelligence - Metrics, dashboards and reusable data patterns.
• AI Enablement - Data for ML, automation and AI use cases.
• Software Engineering - APIs, integration and developer experience.
• Observability & Operations - Monitoring, SLAs and incident management.
• Security & Risk - Secure lifecycle and risk-based decisioning.

Chief Engineer Practice Expectations:

• Set technical direction for a strategic platform.
• Lead complex architectural decisions.
• Uplift engineering capability through coaching.
• Deliver measurable outcomes across reliability, productivity and risk.

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