Chapter Lead/Senior Engineering Manager - Group Security Data Engineering

Commonwealth Bank; City of Melbourne; On-site; AUD 180,000 - 240,000; Full time

Job summary

Commonwealth Bank is seeking a Chapter Lead / Senior Engineering Manager for the Group Security Data Engineering team in Melbourne. You will lead a sizeable team of data engineers and partners, shaping a cloud-first data platform and security analytics capabilities across the group.

You'll drive data architecture, platform design and engineering excellence, guiding migrations from legacy systems to modern AWS-based data environments, while maintaining a strong focus on security, reliability and

Qualifications

• Significant experience leading and developing data engineering teams, including coaching senior technical professionals.
• Proven experience delivering large-scale data platforms, data products or analytics solutions.
• Strong expertise in data architecture, data modelling, data integration and platform design.
• Practical experience designing and delivering data solutions using AWS data services and systems.
• Experience leading complex platform transformation or migration initiatives.
• Strong knowledge of modern data engineering practices, distributed processing and cloud-native platforms.
• The ability to influence senior stakeholders and communicate complex technical decisions clearly.
• A strong risk, security, reliability and operational excellence mindset.

Responsibilities

• Lead, coach and develop a high-performing team of data engineers, creating an inclusive, accountable and collaborative engineering culture.
• Define and execute the engineering strategy for Group Security data platforms and products.
• Lead the migration of data capabilities from legacy platforms to a modern cloud-based data environment.
• Provide technical leadership across data architecture, modelling, integration, platform design and engineering standards.
• Oversee the delivery of secure, resilient and scalable data pipelines, services and reusable data products.
• Drive engineering excellence through automation, testing, observability, CI/CD and operational discipline.

Skills

Data engineering leadership

Cloud data platforms

AWS data services

Data architecture

Data modelling

CI/CD automation

Stakeholder communication

Security mindset

Tools

Snowflake

Python

SQL

Spark

EMR

Glue

Redshift

Job description

Chapter Lead / Senior Engineering Manager, Group Security Data Engineering

• Lead the engineering team building the next generation Security Data Platform powering analytics, AI and cyber defence across CommBank
• Shape a major cloud data transformation using AWS, Snowflake and modern data engineering practices
• Grow engineering capability while delivering secure, scalable data products across the Group.

Do work that matters:

Technology is responsible for the world-leading application of technology across every aspect of CommBank, from innovative customer experiences to the critical platforms that protect our people, customers and communities.

Within Group Security, our Data Engineering team builds the data foundations that enable security analytics, controls, automation and emerging AI-powered security capabilities. We transform large volumes of security data into trusted, accessible data products and services that strengthen cyber defence and support informed decision-making across the Group.

As Chapter Lead / Senior Engineering Manager, you will lead a sizeable team of data engineers and delivery partners responsible for developing strategic data products, operating existing platforms and delivering our transition to a modern cloud data environment. This opportunity combines people leadership with technical strategy, data architecture and engineering capability uplift.

See yourself in our team:

In this role, you will:

• Lead, coach and develop a high-performing team of data engineers, creating an inclusive, accountable and collaborative engineering culture
• Define and execute the engineering strategy for Group Security data platforms and products
• Lead the migration of data capabilities from legacy platforms to a modern cloud-based data environment
• Provide technical leadership across data architecture, modelling, integration, platform design and engineering standards
• Oversee the delivery of secure, resilient and scalable data pipelines, services and reusable data products
• Drive engineering excellence through automation, testing, observability, CI/CD and operational discipline
• Partner with product owners, architects, security specialists and engineering leaders to translate complex requirements into effective solutions
• Balance transformation priorities, delivery commitments, platform health, risk and technical debt to achieve sustainable outcomes.

We are interested in hearing from people who:

Are an experienced engineering leader with a strong data engineering background and the technical judgement to guide architecture, design and delivery in a complex enterprise environment. You are passionate about developing people, improving engineering capability and creating the conditions for teams to deliver high-quality outcomes.

You will bring:

• Significant experience leading and developing data engineering teams, including coaching senior technical professionals
• Proven experience delivering large-scale data platforms, data products or analytics solutions
• Strong expertise in data architecture, data modelling, data integration and platform design
• Practical experience designing and delivering data solutions using AWS data services and systems
• Experience leading complex platform transformation or migration initiatives
• Strong knowledge of modern data engineering practices, distributed processing and cloud-native platforms
• The ability to influence senior stakeholders and communicate complex technical decisions clearly
• A strong risk, security, reliability and operational excellence mindset

Experience with Snowflake is strongly preferred. Exposure to Python, SQL, Spark, AWS services such as EMR, Glue or Redshift, and enterprise self-service data platforms will also be highly regarded.

Cybersecurity experience is valuable but not essential. This role offers an opportunity for an accomplished data engineering leader to build security domain knowledge while contributing to advanced analytics, automation and AI-powered cyber defence capabilities.

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.

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Advertising End Date: 22/10/2026