Data Product Architect

Responsibilities

• Lead the architecture, design, and evolution of enterprise data products and platforms aligned with business priorities and technology strategy.

• Partner closely with business stakeholders to understand challenges, identify opportunities, and translate requirements into scalable technical solutions.

• Design and implement cloud-native data architectures leveraging AWS services and modern data engineering practices.

• Provide technical leadership across the software development lifecycle, guiding engineering teams on architecture, design patterns, and solution implementation.

• Collaborate with architects, product teams, and technology partners to ensure alignment with enterprise architecture standards and roadmaps.

• Develop and optimize data pipelines, data integration solutions, and data platforms that support analytics and operational use cases.

• Evaluate technologies, tools, and vendor solutions to support future product capabilities.

• Support architecture governance processes and contribute to technology standards and best practices.

• Mentor engineers and foster technical excellence across the team.

• Drive delivery outcomes by balancing business needs, technical feasibility, scalability, and long-term sustainability.

Qualifications

• Minimum of five years related work experience, with at least two years of development experience.

• Undergraduate degree or equivalent combination of training and experience.

• Experience architecting and building cloud-based data platforms using AWS.

• Strong programming and data engineering experience with Python, SQL, and PySpark.

• Experience designing and supporting large-scale data pipelines and distributed data processing solutions.

• Knowledge of modern data architecture patterns, data modeling, and enterprise data ecosystems.

• Experience partnering with business stakeholders and translating business requirements into technical solutions.

• Strong communication, collaboration, and stakeholder management skills.

Preferred Qualifications

• Experience with data visualization and analytics platforms such as Tableau, Power BI, or Amazon QuickSight.

• Experience providing technical leadership, mentorship, and architectural guidance to engineering teams.

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.