Senior Data & AI Engineer

This is an on-site position located in the Alpharetta, GA office.About Meadows & Ohly

Founded in 1972, Meadows & Ohly is a leading healthcare real estate services firm serving health systems and providers nationwide. With more than 250 employees across nine offices, we deliver integrated real estate, advisory, development, and management solutions tailored to the healthcare industry. Our culture is built on integrity, collaboration, hard work, and long-term relationships, driven by exceptional people committed to doing what is best for our clients, partners, and communities.

Why Join Us?

• Awarded 2025 & 2026 Modern Healthcare Best Places to Work
• Competitive compensation and performance incentives
• Comprehensive health, dental, and vision benefits
• 401(k) with company match
• Generous PTO and paid holidays
• Professional development and career growth opportunities
• Collaborative, people-first culture focused on work-life balance

Location

Alpharetta, GA

Position Overview

The Senior Data & AI Engineer is responsible for designing, building, and scaling Meadows & Ohly's enterprise data platform and AI capabilities. This hands-on role expands our Snowflake data lakehouse, develops scalable data pipelines, and implements AI-powered solutions that drive smarter business decisions across the organization. We are looking for a collaborative, curious engineer who enjoys solving complex problems, embraces continuous learning, and thrives in a culture of servant leadership. At Meadows & Ohly, our people are committed to enhancing the lives of others through innovation, integrity, and teamwork, and we're looking for someone who shares those values while helping shape the future of our Data & AI capabilities.

Key Responsibilities

• Design, develop, and optimize Meadows & Ohly's Snowflake data platform using a modern medallion architecture
• Build and maintain scalable ETL/ELT pipelines that integrate enterprise business systems and data sources
• Develop AI-powered applications, including Retrieval-Augmented Generation (RAG) pipelines and intelligent search capabilities
• Implement data quality, monitoring, governance, and platform observability to ensure reliable enterprise reporting
• Collaborate with business and technical teams to translate business needs into scalable data solutions
• Optimize platform performance, security, and scalability while establishing engineering best practices
• Mentor junior team members and contribute to the growth of the Data & AI function
• Support enterprise analytics, reporting, and advanced AI initiatives across the organization
• Stay current on emerging data engineering, cloud, and AI technologies to drive continuous innovation