Remote Enterprise Data & AI Architect — Lead & Scale

Patterson Companies Careers; Nevada; Hybrid; USD 123,000 - 164,000; Full time

Job summary

Patterson Companies Careers is seeking an Enterprise Data & AI Architect to define and advance data and AI architecture strategies across the organization. You will guide end-to-end delivery from executive roadmaps to hands-on modeling, pipelines, and production support, shaping enterprise data accessibility, governance, and business value.

You will lead standards, metadata management, AI solutions, and API integrations, while mentoring teams on CI/CD, data security, and best practices.

Qualifications

• Bachelor's degree in Engineering, Computer Science or related field, or equivalent education and/or experience.
• 7+ years of experience in data architecture, data engineering, AI Architecture, and AI/ML solution delivery.
• Experience designing and delivering production AI solutions and data warehouses/pipelines.

Responsibilities

• Define and maintain enterprise data architecture and governance standards.
• Design metadata-driven data lineage frameworks for transparency and data quality.
• Lead AI solutions design, implementation, and documentation of intelligence platforms.
• Architect API-driven integrations across ERP/CRM platforms.
• Provide technical leadership and mentorship on CI/CD, data security, and best practices.

Skills

Python

SQL

API integration

Data governance

Metadata management

Enterprise data architecture

AI frameworks

Communication

Education

Bachelor's Degree in Engineering, Computer Science or related field

Tools

Azure Synapse

BigQuery

Snowflake

Informatica

Gemini

GPT

Google Document AI

Job description

Patterson Companies Careers is seeking an Enterprise Data & AI Architect to define and advance data and AI architecture strategies across the organization. You will guide end-to-end delivery from executive roadmaps to hands-on modeling, pipelines, and production support, shaping enterprise data accessibility, governance, and business value.

You will lead standards, metadata management, AI solutions, and API integrations, while mentoring teams on CI/CD, data security, and best practices.