Data Product Architect

The Vanguard Group; East Whiteland Township (PA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

The Vanguard Group is seeking an experienced Enterprise 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, cloud-based solutions on AWS and guide engineering teams through architectural best practices.

The role requires strong Python, SQL and PySpark skills, with experience building large-scale data pipelines and distributed

Qualifications

• 5+ years of related work experience, with 2+ years of development.
• Experience architecting cloud-based data platforms on AWS.
• Strong Python, SQL, and PySpark programming skills.
• Experience designing large-scale data pipelines and distributed processing.
• Ability to translate business requirements into technical solutions.

Responsibilities

• Lead the architecture, design, and evolution of enterprise data products and platforms aligned with business priorities and technology strategy.
• Partner with 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 SDLC, guiding teams on architecture, design patterns, and implementation.
• Collaborate with architects, product teams, and technology partners to align with standards and roadmaps.
• Develop and optimize data pipelines, data integration solutions, and data platforms supporting analytics and operations.
• Evaluate technologies, tools, and vendor solutions to support future capabilities.
• Support architecture governance and contribute to standards and best practices.
• Mentor engineers and foster technical excellence across the team.
• Drive delivery outcomes balancing business needs, technical feasibility, scalability, and sustainability.

Skills

Python

SQL

PySpark

Data engineering

Education

Bachelor's degree

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. Vanguard, one of the worlds leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests.