Domain Architect - Enterprise Data Architecture

The Vanguard Group • Malvern, PA

3d • Hybrid

About The Position

Join Vanguard's Enterprise Data Architecture team and help shape the future of our AI-Ready Data Strategy . This critical role will help define and evolve the enterprise data architecture blueprint , ensuring our data ecosystem is scalable, secure, and optimized for AI capabilities. You'll collaborate across subdivisions to establish standards, patterns, and frameworks that enable trusted, high-quality data for the enterprise. If you're passionate about modern data platforms, cloud-native architectures, and driving innovation through data, this is your opportunity to make a lasting impact. 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. 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.

Requirements

• AWS Data Services.
• Data Architecture experience required.
• Data Modeling and Data Lakehouse technologies required.
• Minimum of ten years related work experience, with at least five years of technology architect experience.
• Undergraduate degree or equivalent combination of training and experience.

Nice To Haves

• Databricks, semantic modeling and dimensional modeling preferred.
• Graduate degree preferred.

Responsibilities

• Expertise in synthesizing business and technical requirements into world class data architectures and technical blueprints.
• Designs data and platform architectures for Operational through Analytics phases of the data lifecycle.
• Provides thought leadership, working with partners to make decisions and recommendations on the future of data architecture.
• Participates in special projects and performs other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees