AI-Ready Data Architect: Cloud Data Platform Lead

Vanguard; Charlotte (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

Vanguard’s Enterprise Data Architecture team is seeking a senior architect to define and evolve the enterprise data architecture blueprint, focusing on scalable, secure, governed data for AI, analytics, and data product enablement. You will shape standards and frameworks across divisions to enable trusted, high-quality data.

You will lead end-to-end cloud-native data platforms, evaluate new technologies, and drive governance and integration patterns that support AI-ready data capabilities across

Qualifications

• Must have deep expertise implementing Databricks Lakehouse Platform.
• Strong experience with event-driven architectures and Kafka ecosystems.
• Proven track record architecting large-scale data platforms (lakehouse, data warehouse, streaming).
• Expertise in data modeling across multiple methodologies.
• Experience designing cloud-native solutions in AWS.

Responsibilities

• Architect large-scale cloud-native enterprise data platforms to support analytics, AI, and operations.
• Design scalable data platforms for operational intelligence, analytics, ML.
• Provide hands-on technical leadership in evaluating and implementing data, AI, and cloud technologies.
• Translate business and technical requirements into architecture standards and roadmaps.
• Advise business and technology leaders shaping enterprise data architecture strategy.

Skills

Data architecture

Cloud architecture

Leadership

Communication

AI-ready data capabilities

Tools

Databricks Lakehouse Platform

Apache Iceberg

Confluent Kafka

AWS

Job description

Vanguard’s Enterprise Data Architecture team is seeking a senior architect to define and evolve the enterprise data architecture blueprint, focusing on scalable, secure, governed data for AI, analytics, and data product enablement. You will shape standards and frameworks across divisions to enable trusted, high-quality data.

You will lead end-to-end cloud-native data platforms, evaluate new technologies, and drive governance and integration patterns that support AI-ready data capabilities across