Senior Engineering Manager – Chapter Lead, Data Engineering

Commonwealth Bank

Senior Engineering Manager leading data engineering chapter for financial crime compliance at CommBank. Collaborating with technology and business teams to enhance data capabilities and engineering practices.

Posted 7/17/2026full-timeSydney • 🇦🇺 AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading and developing data engineering teams while driving the design and delivery of cloud-based data solutions. Proficient in modern data engineering practices, data quality assurance, and financial crime technology transformation.

Highest-signal resume keywords

AWS Data ServicesData Quality AssuranceDevSecOpsData Engineering LeadershipCloud Data Engineering Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData Warehouse DevelopmentData Lake ArchitectureSQLPL/SQLSparkHadoopHiveSnowflakeAWS Glue

Soft Skills

CoachingTeam DevelopmentCollaborationCommunication

Tools & Technologies

Cloud TechnologiesAutomation ToolsObservability ToolsFinancial Crime Compliance Tools

Industry Keywords

Financial ServicesRisk ManagementComplianceRegulated EnvironmentsEconomic Crime Transformation

Tech Stack

Tools & technologies

AWSCloudHadoopSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Proven experience leading, coaching and developing engineers or data engineering teams
Strong experience with AWS data services and modern cloud data engineering practices
Experience designing or 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.

Benefits

Comp & perks

accessible, inclusive and respectful workplace
support or adjustments for applicants from diverse backgrounds