Enterprise Data & AI Architect — Scale & Governance

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 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