Domain Architect - Enterprise Data Architecture

VanguardMalvern, PA
41dHybrid

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. 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. Qualifications: AWS Data Services. Data Architecture experience required. Data Modeling and Data Lakehouse technologies required. Databricks, semantic modeling and dimensional modeling preferred. 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. Graduate degree preferred. 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 world's largest 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. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.

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.
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