Position Overview

This is a full-time, remote, and exempt position. We are seeking a Principal Analytics Platform Engineer who will own DUOS’ entire data foundation. In this role you will build the pipelines, models, tools, and AI-driven capabilities that empower every team—Product, Ops, Client, and Executive—to access clean, consistent, trustworthy data at scale. You will evolve DUOS from manual analytics and ad-hoc SQL stitching into a modern, automated, AI-enabled analytics platform, ensuring that senior staff data analysts and business teams spend more time on insights rather than data plumbing. About DUOS: DUOS is more than just a consumer-focused healthcare company. We’re on a mission to reimagine freedom at any age through trusted relationships, technology, and community support for fulfilling lives at home.

Key Responsibilities

• Data Platform Architecture & Pipeline Ownership
  • Design and own DUOS' data architecture on AWS to ensure scalable, maintainable infrastructure for all data operations.
  • Build robust, automated pipelines for client file ingestion, normalization, deduplication, and enrichment.
  • Architect scalable ingestion into Salesforce, Iterable, or other operational systems.
  • Implement versioned, testable, and observable data transformations and modeling layers.
• AI-Enabled Self-Serve Analytics
  • Build AI-driven tools enabling natural-language querying, automated insights, metadata discovery, and semantic layer navigation.
  • Define and maintain DUOS’ metrics layer for self-serve dashboards and consistent KPI definitions.
  • Evaluate and integrate modern AI analytics tools.
• High-Quality Data Models & Business Logic
  • Create reusable, well-documented data models powering all dashboards and operational reporting.
  • Ensure consistent, durable logic for funnels, cohorting, attribution, ROI calculations, and provider/member analytics.
  • Serve as the architectural owner of “source of truth” data assets.
• Cross-Functional Integration
  • Own data flows into and out of client systems, marketing systems, Salesforce, and product pipelines.
  • Partner with Engineering to ensure product features are instrumented correctly.
  • Partner with Ops to ensure operational workflows are accurately captured and measurable.
• Data Quality, Governance & Observability
  • Implement systematic validation, schema monitoring, anomaly detection, and SLAs for critical data assets.
  • Resolve upstream data issues proactively and improve reliability across ingestion paths.
  • Define standards for naming, modeling, versioning, and documentation.
• Platform Vision & Leadership
  • Set the long-term vision for DUOS’ analytics platform and data architecture.
  • Mentor data analysts, engineers, and cross-functional teams on best practices in analytics engineering, AI-enabled analytics, and data governance.
  • Lead multi-quarter initiatives transforming DUOS into a mature, scalable data organization.

Required Qualifications

• Expert-level SQL (Athena and PostgreSQL), data modeling, and analytics engineering.
• Deep experience building data pipelines on AWS.
• Strong understanding of analytics tools and semantic layer design.
• Experience building or integrating AI-driven analytics tools.
• Ability to design complex ingestion workflows with multiple external data sources (Salesforce, Iterable, AWS, etc.).
• High autonomy, strong architectural judgment, and the ability to own company-critical systems end-to-end.

Benefits & Perks

• Medical
• Vision
• Dental
• 401K
• Competitive PTO