Chapter Lead

Commonwealth Bank; Melbourne; On-site; AUD 180,000 - 260,000; Full time

Job summary

Commonwealth Bank is seeking a Senior Engineering Manager / Chapter Lead for Data Engineering in Melbourne. You will lead a data platforms crew, balancing hands-on engineering with people leadership to deliver trusted data products and analytics across Economic Crime.

You will guide architecture, platform uplift, and data governance while promoting modern cloud data engineering, data quality and security best practices. Strong collaboration with risk, technology and enterprise teams is essential.

Qualifications

• Proven experience leading data engineering teams.
• Strong background in solution design, architecture and platform uplift.
• Experience with AWS data services and cloud data engineering practices.
• Experience designing large-scale data lakes, data warehouses, data pipelines or analytics platforms.
• Deep understanding of data quality, lineage, control frameworks and auditability.
• Experience in complex financial services, risk, compliance or regulated environments.
• Knowledge of DevSecOps, observability and platform health.

Responsibilities

• Solution design, architecture, coding and platform uplift, troubleshooting.
• Lead, coach and develop data engineers across multiple squads.
• Guide design, delivery, testing and maintenance of data products and dashboards.
• Drive full-stack data engineering, reduce handoffs and improve collaboration across teams.
• Partner with cross-functional teams to align delivery with strategic priorities and OKRs.
• Strengthen data quality, lineage, monitoring and reporting controls.
• Support modernisation of data technology toward AWS, Snowflake and AI-enabled practices.
• Champion secure, scalable engineering and DevSecOps practices.
• Lead the team transition from legacy big data towards cloud-based data services.

Skills

Leadership

AWS data services

Data engineering

DevSecOps

Data lakes and warehouses

AI/ML interest

Mentoring

Tools

Spark

Hadoop

Hive

Snowflake

SQL/PLSQL

AWS Glue

Job description

Senior Engineering Manager / Chapter Lead (Data Engineering)

Do Work That Matters

Financial Crime Compliance is an integral part of CBA's Group Risk function and is accountable for the development, implementation and ongoing governance of the Group’s financial crime compliance program, including Anti-Money Laundering and Counter-Terrorism Financing, Sanctions, Anti-Bribery and Corruption, and Anti-Tax Evasion risks and obligations.

As Senior Engineering Manager, you’ll lead a specialist data engineering chapter that supports products and services across Economic Crime. Your time will be spent 50% hands-on engineering by contributing directly to solution design, architecture, coding, technical reviews, platform uplift, troubleshooting and the delivery of trusted data products, as well as 50% people and capability leadership: coaching engineers, setting engineering standards, managing performance, building capability and aligning delivery with strategic priorities helping the crew move towards modern AWS, Snowflake, AI, ML and AI-powered engineering practices.

Bring your ambition and we’ll help you grow, belong and shape what’s to come in a team solving complex risk, data and technology challenges at meaningful scale.

See yourself in our team

The newly established Data Platforms Crew within the Economic Crime function plays a critical role in helping the Group understand, monitor and manage economic and financial crime risk by delivering trusted data, reporting, analytics and insights that support risk governance, regulatory obligations, operational effectiveness and executive decision-making.

The role will include setting the strategic direction for the data platform and provide analytics and insights which will support the transformative three-year vision of the bank in order to combat financial crime detection and prevention.

Key Responsibilities

• Solution designing, architecture, coding, technical reviews, platform uplift, troubleshooting
• Lead, coach and develop data engineers across multiple data squads, supporting wellbeing, capability uplift and strong performance outcomes.
• Guide the design, delivery, testing and maintenance of trusted data products, pipelines, reporting solutions, dashboards and analytical datasets.
• Drive uplift towards full-stack data engineering, reducing handoffs and improving how engineers work across requirements, build, testing, controls and operations.
• Partner with the Crew Tech Lead, Financial Crime Compliance, Risk, Operations, Technology, Data Governance and enterprise business teams to align delivery with strategic priorities, technology KPIs and OKRs.
• Strengthen data quality, lineage, reconciliation, monitoring, observability, automation and reporting controls.
• Help modernise financial crime technology, data and reporting capabilities as part of the broader economic crime transformation agenda.
• Champion DevSecOps, platform health, vulnerability reduction, operational resilience and secure, scalable engineering practices.
• Support the team’s transition from legacy big data and warehouse technologies toward cloud, AWS data services, Snowflake and AI-enabled ways of working.

We’re interested in hearing from people who:

We know great candidates may not meet every requirement listed below. If this opportunity excites you and you believe your experience could add value, we’d love to hear from you.

• Proven experience in solution designing, architecture, coding, technical reviews, platform uplift, troubleshooting
• Experience in leading, coaching and developing data engineering teams.
• Strong experience with AWS data services and modern cloud data engineering practices.
• Experience designing and leading large-scale data lakes, data warehouses, data pipelines or analytics platforms.
• Strong understanding of data quality, lineage, reconciliation, control frameworks, assurance and auditability.
• Experience working in complex enterprise, financial services, risk, compliance or regulated environments.
• Knowledge of DevSecOps, observability, vulnerability reduction, platform health, automation and technology OKRs.
• Exposure to big data and data platform technologies such as Spark, Hadoop, Hive, Teradata, SQL, PL/SQL, Snowflake, AWS Glue or related platforms.
• Interest or experience in AI, ML, AI-powered engineering or managing data to support AI systems would be highly regarded.

Working with us:

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds, and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support, please contact 1800 989 696

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 07/11/2026