Enterprise Data and AI Architect

Patterson Companies, Inc.; Nevada; Remote; USD 123,000 - 164,000; Full time

Job summary

Patterson Companies, Inc. seeks an Enterprise Data & AI Architect to define and advance data and AI architecture strategies across the organization. You will lead the full lifecycle from executive discussions to hands-on modeling, pipelines, and production support.

You will shape governance, metadata, and data accessibility while guiding cross-functional teams to deliver scalable, secure, and high-value analytics solutions with API-driven integrations across major platforms.

Qualifications

• Bachelor's degree in Engineering, Computer Science or related field or equivalent education and/or experience.
• 7 years of relevant experience in data architecture, data engineering, AI architecture, and AI/ML solution delivery.
• Experience designing and delivering production AI solutions with data warehousing and integration.
• Familiarity with data governance, metadata management, and AI tools.

Responsibilities

• Define and maintain enterprise data architecture, metadata management, governance standards, and scalable frameworks.
• Build metadata-driven data lineage frameworks to improve data quality and transparency.
• Design enterprise data requirements for a central analytics platform enabling high-volume data processing at scale.
• Lead end-to-end data architecture, data models, warehouses, and pipelines across systems.
• Lead AI solutions design and implementation, ensuring interoperability with architecture principles.
• Drive AI automation programs and design prompt/tuning for business-process AI.
• Optimize data flows balancing accessibility with security and governance; architect API integrations for self-service across platforms.

Skills

Python

SQL

API integration

Data governance

CI/CD

Education

Bachelor's degree in Engineering or Computer Science or related field

Tools

Azure Synapse

BigQuery

Snowflake

Informatica

Gemini

GPT

Google Document AI

Job description

Job Summary The Enterprise Data & AI Architect is responsible for defining and advancing enterprise data and AI architecture strategies, standards, and frameworks that enable secure, scalable, and efficient use of data across the organization. This role is accountable for the full lifecycle of enterprise data and AI delivery, from executive roadmap discussions to hands‑on data modeling, pipeline tuning, and production support. This role uses expertise to influence architectural decisions and lead cross‑functional efforts to drive data accessibility, governance, and business value.

Date Last Edited: 9/14/2026 1:34:24 PM

Essential Functions

• Define and maintain enterprise data architecture and metadata management standards, frameworks, and governance standards that support scalability, security, integration, compliance, and consistent delivery
• Build metadata‑driven data lineage frameworks that improve transparency and data quality across the enterprise
• Design, maintain, and translate enterprise business and data requirements for a central analytics platform, ensuring service standards and technical strategies enable processing high‑volume data reliably at scale
• Accountable for the end‑to‑end enterprise data architecture, data frameworks, and related data models, including data warehouses, data pipelines, and integration across enterprise systems to unify systems, process data high‑volume reliably
• Lead the evaluation, design, and implementation of AI solutions (e.g., large language solutions, business process automation) to ensure compatibility, interoperability, and alignment with enterprise architecture principles; architect and deliver production AI solutions and document intelligence platforms for use cases
• Lead the enterprise AI automation program, identifying high‑value opportunities in partnership with business leaders to guide solutions from design through deployment and production support; design AI‑driven automation for complex business processes and be accountable for prompt design, tuning, and evaluation to meet business needs for consistency and accuracy
• Optimize enterprise data and information flows by reducing redundancy, improving accessibility, and balancing data availability with security and governance requirements
• Architect API‑driven integrations across enterprise platforms (e.g., SAP Ariba, HighRadius, Microsoft Graph) to enable self‑service capability, reduce turnaround time, and automate manual business processes
• Provide expert technical leadership, direction, and mentoring on complex architecture initiatives, influencing architectural decisions and advancing best practices across projects and teams
• Advise cross‑functionally on data and AI strategy and technical roadmap, and mentor engineering teams on CI/CD, data security, code quality, and architectural best practices
• Comply with Company and department policies and standards; performs other duties as assigned

Minimum Requirements

• Bachelor's Degree in Engineering, Computer Science or related field or equivalent education and/or experience
• 7 years of relevant experience in data architecture, data engineering, AI Architecture, and AI/ML solution delivery
• Experience designing and delivering production AI solutions
• Experience with data warehousing, integration, documentation, and AI tools (e.g., Azure Synapse, BigQuery, Snowflake, Informatica, Gemini, GPT, Google Document AI)

Skills And Abilities

• Strong proficiency in Python and SQL for data pipeline development and AI solution engineering
• Proficiency with API‑driven systems integration across ERP, procurement, finance, and CRM platforms
• Demonstrated expertise in enterprise data architecture, data governance, metadata management, and lineage frameworks
• Advanced knowledge of AI solution frameworks, model lifecycle concepts, and supporting data requirements
• Ability to evaluate technology solutions and recommend enterprise‑wide architectural approaches and best practices
• Excellent communication, influencing, and facilitation skills; able to effectively present complex technical concepts clearly with non‑technical audiences
• Ability to lead cross‑functional initiatives, influence decision‑making and lead without direct authority; strong collaboration, project management, problem‑solving and analytical skills

Physical and Cognitive Demands

• Communicate/Hearing Frequently
• Communicate/Talking Frequently
• Learn New Tasks or Concepts Frequently
• Make Timely Decisions in the Context of a Workflow Frequently
• Complete Tasks Independently Constantly
• Maintain Focus Constantly
• Remember Processes & Procedures Constantly
• Stationary Position (Seated) Constantly
• Vision Constantly
• Hand/Eye Coordination Occasionally
• Bend Rarely
• Complete Tasks in a Noisy Environment Rarely
• Feeling/Grasping/Handling Rarely
• Move/Traverse Rarely
• Repetitive Motions Rarely

Working Environment

• Hazards Occasionally

Environmental Conditions

• Office: This position primarily operates in a professional office environment in which team members occupy desks in assigned areas or at meeting/collaboration spaces within the building. The building's primary work areas consist of desks, chairs, computers, and other office equipment and devices for professional services.
• Remote: This position primarily completes work from a remote setting, most commonly, a home office. This may be referenced as flexible workplace.

Travel Requirements

• 10% This position requires occasional travel as needed for business meetings, project activities, and collaboration events

The potential compensation range for this role is below. The final offer amount could exceed this range, based on various factors such as candidate location (geographical labor market), experience, and skills. $123,200.00 - $164,333.33