Senior Domain Architect - Data

Vanguard

. Define and evolve end-to-end enterprise data architecture across modern cloud data platforms .

Posted 10/8/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in designing and implementing enterprise data architecture, particularly on the Databricks Lakehouse Platform, while leveraging cloud-native solutions within AWS ecosystems. Proven ability to translate complex requirements into scalable data platforms that support advanced analytics and AI-driven capabilities.

Highest-signal resume keywords

Databricks Lakehouse PlatformEvent-Driven ArchitecturesCloud-Native Data SolutionsData ModelingAI and Machine Learning Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData IntegrationData GovernanceData WarehousingStreaming Data PlatformsAnalytical EcosystemsSemantic ModelingKnowledge GraphsMetadata-Driven ArchitecturesPrototyping

Soft Skills

Technical LeadershipCollaborationStrategic Influence

Tools & Technologies

DatabricksApache IcebergConfluent KafkaAWS

Industry Keywords

Enterprise Data ArchitectureCloud Data PlatformsAI-Ready Data CapabilitiesOperational IntelligenceAdvanced Analytics

Tech Stack

Tools & technologies

ApacheAWSCloudKafka

About the role

Key responsibilities & impact

Define and evolve end-to-end enterprise data architecture across modern cloud data platforms
Establish platform strategy, data design, technology evaluation, integration patterns, governance frameworks, and AI-ready data capabilities
Architect large-scale cloud-native enterprise data platforms using technologies such as Databricks, Apache Iceberg, and Confluent Kafka
Design scalable data platforms supporting operational intelligence, advanced analytics, machine learning, and AI-driven business capabilities
Provide hands-on technical leadership in evaluating, prototyping, and implementing emerging data, AI, and cloud technologies
Translate complex business and technology requirements into enterprise architecture standards, reference architectures, and implementation roadmaps
Advise business and technology leaders, influence strategic decisions, and shape the future direction of enterprise data architecture
Collaborate across subdivisions to establish standards, patterns, and frameworks enabling trusted, high-quality enterprise data

Requirements

What you’ll need

Deep expertise designing and implementing solutions on the Databricks Lakehouse Platform
Strong experience with event-driven architectures, streaming data platforms, and Kafka-based ecosystems
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
Experience working on AI, machine learning or GenAI applications
Experience with semantic modeling, ontologies, knowledge graphs, and metadata-driven architectures
Minimum of ten years of related work experience, with at least five years of data architecture experience
Undergraduate degree or equivalent combination of training and experience
Vanguard is not offering visa sponsorship for this position

Benefits

Comp & perks

Hybrid working model
Enhanced flexibility
In-person learning, collaboration, and connection
Opportunities to learn and develop skills as individuals and as a team