Domain Architect - Data , Senior Specialist

Vanguard; Charlotte (NC); Sur place; USD 140 000 - 180 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Data architecture

Cloud architecture

Leadership

Communication

AI-ready data capabilities

Outils

Databricks Lakehouse Platform

Apache Iceberg

Confluent Kafka

AWS

Description du poste

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, governed, and optimized for AI, analytics, and data product enablement. 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.

Responsible for defining and evolving end-to-end enterprise data architecture across modern cloud data platforms, including platform strategy, data design, technology evaluation, integration patterns, governance frameworks, and AI-ready data capabilities.

Responsibilities

• Architects large-scale cloud-native enterprise data platforms leveraging technologies such as Databricks, Apache Iceberg, and Confluent Kafka to support analytics, AI, and operational workloads.
• Designs scalable data platforms supporting operational intelligence, advanced analytics, machine learning, and AI-driven business capabilities.
• Provides hands‑on technical leadership in evaluating, prototyping, and implementing emerging data, AI, and cloud technologies.
• Translates complex business and technology requirements into enterprise architecture standards, reference architectures, and implementation roadmaps.
• Serves as a trusted advisor to business and technology leaders, influencing strategic decisions and shaping the future direction of the enterprise data architecture.

Qualifications

• Deep expertise designing and implementing solutions on the Databricks Lakehouse Platform is required.
• Strong experience with event-driven architectures, streaming data platforms, and Kafka-based ecosystems is highly desired.
• Proven track record architecting large-scale data platforms, including lakehouse, data warehouse, streaming, and analytical ecosystems.
• Expertise in conceptual, logical, and physical data modeling using multiple modeling methodologies.
• Experience designing cloud-native data solutions within AWS ecosystems is preferred.