Sr. Enterprise Data Architect

About the Team

The Enterprise Data Architecture and Data Platform team is a central organization built to establish enterprise-wide standards and capabilities as scalable solutions to be used across the enterprise.  This team defines and manages enterprise data architectures and AI data readiness working with Enterprise Architecture that ensures consistency, scale, controls and compliance to how data is managed. This organization is also responsible for enterprise capabilities including vendor solutions as product owners. 

Role Summary

As a Senior Enterprise Data Architect, you will lead the design, governance, and evolution of enterprise data and AI architecture capabilities across the firm. This role is responsible for defining reference architectures, guiding implementation patterns, and ensuring scalable, secure, and governed solutions that enable enterprise data and AI outcomes.

The ideal candidate brings deep expertise in modern cloud data platforms, AI/ML architecture, and enterprise integration patterns, along with strong communication and stakeholder management skills. This is a highly hands-on, full-stack architecture role spanning data ingestion, transformation, semantic and consumption layers, model orchestration, application integration, and production deployment patterns. The role includes both strategic architecture leadership and practical execution, including prototyping and proof-of-concept development to validate new capabilities.

We are seeking an energetic, creative, and technically strong architect who enjoys solving complex enterprise problems and building reusable frameworks, standards, and patterns that scale data and AI capabilities across the organization.

Responsibilities

• Lead the architecture, design, and selective hands-on implementation of enterprise data and AI solutions from concept through production.
• Define end-to-end architecture patterns covering data ingestion, transformation, semantic modeling, retrieval, model orchestration, inference, integration, and deployment.
• Build prototypes and proof-of-concepts to validate architecture decisions, evaluate emerging technologies, and accelerate adoption of new data and AI capabilities.
• Establish reusable design patterns for agentic, analytical, and model-driven workflows using cloud-native and enterprise data platforms.
• Design and guide integration of AI capabilities with enterprise applications, APIs, and data platforms such as Snowflake.
• Partner with engineering teams to ensure architecture patterns are implemented in a scalable, secure, and supportable manner.
• Define standards for metadata, lineage, governance, observability, and lifecycle management across data and AI solutions.
• Evaluate tradeoffs across tools, models, platforms, and integration approaches, and recommend solutions aligned to enterprise strategy and business needs.
• Collaborate with cross-functional teams to align architecture, platform capabilities, and delivery roadmaps.
• Drive adoption of enterprise architecture standards, reusable frameworks, and best practices across data and AI initiatives.

Qualifications

Required:

We are looking for an experienced architect with a passion for data and a talent for driving technical consensus. We value your background and we place a high emphasis on your ability to continuously learn and master new technologies. The ideal candidate will have:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• 8+ years of experience in data, platform, or solution architecture, including experience designing and delivering enterprise-scale cloud data and AI solutions.
• Hands-on experience with generative AI, machine learning, or advanced analytics solutions, including at least one use case delivered end-to-end into production.
• Strong experience with AWS and Snowflake, including architecture and implementation patterns for governed data access, analytics, and AI integration; experience with Amazon Bedrock Agent Core and Snowflake Cortex strongly preferred.
• Deep understanding of modern data architecture, including data ingestion, transformation, semantic modeling, metadata, lineage, data quality, governance, and production deployment patterns.
• Strong technical skills in Python or another modern programming language, along with experience in APIs, orchestration patterns, CI/CD, infrastructure as code, and operational best practices.
• Strong communication and stakeholder management skills, with the ability to influence architecture decisions, work across technical and business teams, and operate effectively in a fast-evolving environment.

Preferred:

• A Bachelor's or Master's d