Enterprise Data and AI Architect

Patterson Companies; United States; On-site; USD 130,000 - 180,000; Full time

Job summary

Patterson Companies in the United States seeks an Enterprise Data & AI Architect to define and advance enterprise data and AI architecture strategies, standards, and frameworks that enable secure, scalable data use across the organization. This role drives the full lifecycle from roadmap discussions to hands‑on data modeling, pipelines, and production support.

You will lead cross‑functional efforts to deliver data platforms, AI solutions, and governance, mentor teams on CI/CD and security, and

Qualifications

• 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.

Responsibilities

• Define and maintain enterprise data architecture standards, governance, and metadata management.
• Design data workflows, data models, and pipelines enabling scalable analytics platforms.
• Lead AI automation programs and production AI solutions with governance and security in mind.
• Architect API-driven integrations across ERP, procurement, finance, and CRM systems.
• Mentor engineering teams on CI/CD, data security, and architectural best practices.

Skills

Python

SQL

API integration

Data governance

AI/ML delivery

Communication

Project management

Education

Bachelor's degree in Engineering / CS

Tools

Azure Synapse

BigQuery

Snowflake

Informatica

Gemini

GPT

Google Document AI

Job description

Patterson isn't just a place to work, it's a partner that cares about your success.

One of the distinguishing marks of our company is the talented people who embrace the people-first, always advancing, and results-driven culture. Professional growth abounds in this motivating environment. We value the diverse talents and experiences our employees bring to Patterson and believe that they build a stronger and successful organization.

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.

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
• Ma