Databricks‑Driven AI‑Ready Data Architect

Energy Jobline ZR; Charlotte (NC); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Vanguard is seeking an experienced Enterprise Data Architect to shape and evolve the organization’s data architecture blueprint on modern cloud data platforms. You will drive standards, patterns, and governance to enable trusted, high-quality data for AI, analytics, and data product enablement.

You will provide hands-on leadership across design, prototyping, and implementation of lakehouse, streaming, and analytics ecosystems, collaborating with business and technology leaders to guide strategic

Qualifications

• Ten or more years of related work experience with at least five years in data architecture.
• Undergraduate degree or equivalent in a relevant field; graduate degree preferred.
• Experience designing enterprise data architectures across cloud platforms.

Responsibilities

• Define and evolve end-to-end enterprise data architecture across modern cloud data platforms.
• Lead platform strategy, data design, and implementation roadmaps for AI-ready data capabilities.
• Provide hands-on technical leadership evaluating and prototyping emerging data and cloud technologies.
• Translate requirements into standards, reference architectures, and implementation plans.
• Advise business and technology leaders to shape the future direction of enterprise data architecture.

Skills

Databricks Lakehouse

Kafka ecosystem

Cloud data platforms

Data modeling

AWS data solutions

AI/GenAI experience

Education

Undergraduate degree or equivalent

Graduate degree preferred

Tools

Databricks

Apache Iceberg

Confluent Kafka

Job description

Vanguard is seeking an experienced Enterprise Data Architect to shape and evolve the organization’s data architecture blueprint on modern cloud data platforms. You will drive standards, patterns, and governance to enable trusted, high-quality data for AI, analytics, and data product enablement.

You will provide hands-on leadership across design, prototyping, and implementation of lakehouse, streaming, and analytics ecosystems, collaborating with business and technology leaders to guide strategic