Remote Enterprise Data & AI Architect

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

Benefits offered by this job

Medical, Dental, Vision

401(k) Match

Paid Time Off

Holiday Pay

Volunteer Time Off

Education Assistance

Parental Leave

Employee Assistance Program

Patterson Perks Program

Job summary

Patterson Companies, Inc. is seeking an Enterprise Data & AI Architect to define and advance enterprise data and AI architecture strategies, standards, and frameworks.

You will influence architectural decisions and lead cross-functional teams to enable secure, scalable data usage across the organization. Responsibilities include designing data governance, metadata management, and AI solution delivery, with oversight of end-to-end data platforms, pipelines, and integrations.

Qualifications

• Bachelor’s degree in engineering, CS or related field or equivalent education/experience.
• 7 years of experience in data architecture, data engineering, AI architecture, and AI/ML delivery.
• Experience delivering production AI solutions and data warehouses, pipelines, and integration.

Responsibilities

• Define and maintain enterprise data architecture standards, governance, and metadata management.
• Build data lineage frameworks to improve transparency and quality.
• Lead design of central analytics platform and scalable data processing.
• Architect end-to-end data architectures across warehouses and pipelines.
• Lead evaluation and deployment of AI solutions, including production AI systems.
• Drive enterprise AI automation programs from design to deployment and support.

Skills

Python & SQL

API integration

Data architecture & governance

AI solution frameworks

Technology evaluation

Communication & leadership

Education

Bachelor’s in Engineering/CS or related field

Tools

Azure Synapse

BigQuery

Snowflake

Informatica

Gemini

GPT & Document AI

Job description

Patterson Companies, Inc. is seeking an Enterprise Data & AI Architect to define and advance enterprise data and AI architecture strategies, standards, and frameworks.

You will influence architectural decisions and lead cross-functional teams to enable secure, scalable data usage across the organization. Responsibilities include designing data governance, metadata management, and AI solution delivery, with oversight of end-to-end data platforms, pipelines, and integrations.