Principal Analytics Platform Engineer

Principal Analytics Platform Engineer

Location:

Dublin, OH campus with hybrid flexibility or remote anywhere in the United States.

We’re looking for a visionary Principal Analytics Platform Engineer to lead the architectural strategy and engineering of our next-generation analytics platform. This platform will serve both external clients and internal teams, delivering dynamic data visualizations, actionable insights, and AI-augmented recommendations through a highly customized ABI (Analytics & Business Intelligence) solution.

The ideal candidate combines strong engineering expertise with a deep understanding of data platforms and analytics products. You will guide platform selection, design system integration patterns, and lead technical execution to ensure a cohesive, scalable, and intuitive analytics experience—driven by business needs and user expectations.

• Serve as the technical lead for embedding and customizing ABI platforms (e.g., Apache Superset, AWS Quick Sight, or similar) into a unified client-facing analytics experience.
• Define and drive architectural direction for an extensible analytics delivery platform that supports multiple audiences and use cases.
• Partner with product, engineering, AI, and analytics teams to translate requirements into scalable design and platform capabilities.
• Establish platform integration standards—handling identity, data access, visualization layers, and extensibility frameworks.
• Lead implementation of platform components, data APIs, and backend systems supporting real-time and scheduled insights.
• Develop frameworks and reusable components that accelerate feature delivery while ensuring maintainability and security.
• Ensure the analytics platform adheres to security best practices, including data protection, access control, and secure deployment patterns.
• Proactively identify and mitigate risks to maintain a stable, secure, and compliant analytics environment.
• Mentor engineering staff and influence cross-functional delivery teams with technical leadership and best practices.
• Stay current on emerging ABI, data platform, and embedded analytics trends to inform platform evolution.
• Perform other duties and responsibilities as assigned.

• 8+ years in software or analytics engineering with deep experience delivering ABI platforms or data‑driven applications.
• Demonstrated experience embedding or extending modern ABI platforms to support product use cases, especially for client-facing applications.
• Deep knowledge of data modeling, querying (SQL), and connecting analytics platforms to modern data warehouses (e.g., Snowflake, Big Query).
• Experience with authentication/authorization integration, multi-tenancy, and performance tuning in analytics applications.
• Cloud experience (AWS, Azure, or GCP) and familiarity with containerized deployments (Docker, Kubernetes).
• Excellent communication and cross-team collaboration skills.
• Protect and take care of our company and member’s data every day by committing to work within our company ethics and policies.

• Experience with headless BI or composable data product architectures.
• Background in healthcare, healthtech, or another regulated industry.
• Exposure to AI/ML integration and enabling LLM-driven insights in analytics environments.
• Strong administrative/technical skills; comfort working on a PC using Microsoft Office (Outlook, Word, Excel, PowerPoint), IM/video conferencing (Teams & Zoom), and telephones efficiently.
• A high degree of personal accountability and trustworthiness, a commitment to working within Quantum Health’s policies, values and ethics, and to protecting the sensitive data entrusted to us.

Seniority level:
Mid‑Senior level

Employment type:

Full-time

Job function:
Engineering and Information Technology

Industry: Hospitals and Health Care