AI-Ready Enterprise Data Architect

Vanguard

Charlotte (NC)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Vanguard’s Enterprise Data Architecture team is seeking a Senior Data Architect to define and evolve the enterprise data architecture blueprint, ensuring our data ecosystem is scalable, secure, and optimized for AI capabilities.

You will synthesize business and technical requirements, design data and platform architectures for operational through analytics phases, and provide thought leadership across divisions to shape the future of data architecture.

Qualifications

  • 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.
  • AWS Data Services and Data Architecture experience required.
  • Data Modeling and Data Lakehouse technologies required.
  • Databricks, semantic modeling and dimensional modeling preferred.

Responsibilities

  • Synthesize business and technical requirements into world class data architectures and technical blueprints.
  • Design data and platform architectures for Operational through Analytics phases of the data lifecycle.
  • Provide 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.

Skills

Data Architecture
AWS Data Services
Data Modeling
Data Lakehouse
Databricks
Semantic modeling
Dimensional modeling
Ten years experience

Education

Undergraduate degree
Graduate degree preferred

Tools

Databricks
Data Lakehouse technologies

Job description

Vanguard’s Enterprise Data Architecture team is seeking a Senior Data Architect to define and evolve the enterprise data architecture blueprint, ensuring our data ecosystem is scalable, secure, and optimized for AI capabilities.

You will synthesize business and technical requirements, design data and platform architectures for operational through analytics phases, and provide thought leadership across divisions to shape the future of data architecture.

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