Manager, Data Engineering

Responsibilities:

• Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms 

• Drive engineering excellence (code quality, CI/CD, testing, observability, incident management) 

• Partner with product and analytics to prioritize and deliver high-impact data use cases 

• Own production support, incident response, and continuous improvement of data systems 

• Establish and scale DataOps practices across development and operations 

• Collaborate across AWMT D&A to enable data products that support personalization and analytics 

• Hire, develop, and grow engineering talent and future tech leads 

• End-to-end delivery and operation of data pipelines and platforms supporting advice products 

• Engineering quality, reliability, and standardization across your team 

• Talent development for data engineers and tech leads 

• Cross-team alignment with product, analytics, and ML engineering 

• Improving reliability and observability of production data pipelines 

• Driving adoption of consistent pipeline frameworks and engineering standards 

• Enabling scalable data foundations for ML and GenAI use cases 

• Strengthening team execution, prioritization, and stakeholder trust 

Qualifications:

• Experience leading data engineering teams delivering production data platforms 

• Strong understanding of modern data architectures and cloud-based data ecosystems 

• Track record of improving engineering quality, reliability, and delivery at scale 

• Experience partnering with product, analytics, and ML teams 

• Demonstrated ability to develop engineers and build high-performing teams

• Cloud-native data platforms (AWS: S3, Glue, Athena, etc.) 

• Batch and event-driven data pipelines 

• Data modeling and large-scale data processing 

• Data platforms supporting ML and GenAI use cases 

• Observability, monitoring, and operational excellence for data systems 

• Minimum of eight years data analytics, programming, database administration, or data management experience. 

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Nice to have:

• Exposure to ML or GenAI data workflows 

• Financial services or regulated environment experience 

Special Factors

Sponsorship

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.