The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Principal Data Platform Engineer. We are looking for a Principal Data Platform Engineer to architect, build, and optimize scalable cloud-native data platforms that power business insights and decision-making. This role will lead the technical direction of our data platform and supporting tooling ensuring best practices in data modeling, pipeline orchestration, and platform scalability. As a technical leader, you will foster a mentorship program to increase awareness of data platform tooling across the organization, drive engineering excellence, and collaborate with cross-functional teams to design and implement high-performance data solutions. Key Responsibilities: Data Platform Architecture & Development: * Design, develop, and optimize scalable data solutions to support the TAG data platform eco-system * Establish best practices for data modeling, performance tuning, and cost optimization across our data platform Leadership & Mentorship: * Act as a technical mentor for the data platform and operational teams, providing guidance on architecture, code quality, and best practices. * Drive engineering excellence by establishing and promoting CI/CD, infrastructure as code, and automation. * Advocate for modern data practices, including data observability and monitoring. Collaboration & Strategy: * Work closely with data analysts, data scientists, and business teams to translate business needs into scalable data solutions. * Partner with ML and analytics teams to support real-time and batch data processing for AI-driven applications. * Evaluate and implement emerging technologies to enhance platform scalability and efficiency. Qualifications & Experience: * 5+ years of experience in data engineering with a focus on cloud-native architectures. * Strong expertise in Python, Airflow, Event Driven Architecture * Hands-on experience designing scalable, cost-efficient data platforms in Google Cloud (GCP). * Deep understanding of data warehousing, ELT & ETL architectures, and distributed computing. * Strong knowledge of CI/CD, infrastructure as code (Terraform), and DevOps principles. * Ability to lead teams, mentor engineers, and influence technical strategy. Preferred Qualifications: * Knowledge of ML and AI data pipelines is a plus. * This role is onsite 4 days/week in our Fulton Market office * A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match * Salary: $170,000-200,000/year