Principal Analytics Platform Engineer

Location: This position is located at our Dublin, OH campus with hybrid flexibility.

Who we are

Founded in 1999 and headquartered in Central Ohio, we’re a privately-owned, independent healthcare navigation organization. We believe that no one should have to navigate the cost and complexity of healthcare alone, and we’re on a mission to make healthcare simpler and more effective for our millions of members. Our big-hearted, tech-savvy team fights to ensure that our members get the care they need, when they need it, at the most affordable cost – that’s why we call ourselves Healthcare Warriors®.

We’re committed to building diverse and inclusive teams – more than 2,000 of us and counting – so if you’re excited about this position, we encourage you to apply – even if your experience doesn’t match every requirement.

About the role

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.

What you’ll do

Serve as the technical lead for embedding and customizing ABI platforms (e.g., Apache Superset, AWS QuickSight, 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 to support the broader goals of the team and organization.

Other duties as assigned

What you’ll bring

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.

Strong backend and frontend engineering skills, especially in Python and JavaScript/TypeScript-based environments.

Deep knowledge of data modeling, querying (SQL), and connecting analytics platforms to modern data warehouses (e.g., Snowflake, BigQuery).

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

Nice to Have

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.

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