Data Product Architect

Vanguard; Malvern (Chester County); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Vanguard in Malvern, PA is seeking a senior Data Architect to lead the architecture, design, and evolution of enterprise data products and platforms aligned with business priorities. You will partner with stakeholders to translate requirements into scalable technical solutions and guide engineering teams across the lifecycle.

The role emphasizes cloud-native data architectures on AWS, data pipelines, and governance, with mentorship and collaboration across product teams to ensure alignment with

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.

Responsibilities

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

Skills

Python

SQL

PySpark

Data engineering

Communication

Stakeholder management

Mentorship

Education

Undergraduate degree or equivalent

Tools

AWS

Tableau

Power BI

Amazon QuickSight

Job description

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

Vanguard is not offering visa sponsorship for this position.

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.