Principal Analytics Platform Engineer
Dublin, Franklin County, Ohio, 43016, USA
Listed on 2025-12-27
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IT/Tech
Data Engineer, Data Analyst, Cloud Computing, AI Engineer
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 roleWe’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.
Location:
This position is located at our Dublin, OH campus with hybrid flexibility or may work remotely anywhere in the United States of America.
- 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 to support the broader goals of the team and organization.
- 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.
- Commit to protecting company and member data in alignment with our 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; comfortable working on a PC using Microsoft Office,…
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