DUOS
Overview
We are seeking a Principal Analytics Platform Engineer who will own DUOS’ entire data foundation. They 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. This role is responsible for evolving DUOS from manual analytics and ad-hoc SQL stitching into a modern, automated, AI-enabled analytics platform. They ensure that DUOS’ Senior Staff Data Analyst and business teams spend time on
insights , not data plumbing. What You’ll Do
Design and own DUOS' data architecture on AWS, ensuring scalable, maintainable infrastructure for all data operations Build robust, automated pipelines for client file ingestion, normalization, deduping, and enrichment. Architect scalable ingestion into Salesforce, Iterable, or other operational systems. Implement versioned, testable, 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 enabling 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, provider/member analytics, etc. 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. 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. What We Are Looking For
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 ability to own company-critical systems end-to-end. What DUOS is All About
DUOS is more than just a consumer-focused healthcare company. We’re on a mission to reimagine freedom at any age. We form trusted relationships with older adults using technology and community to support fulfilling lives at home. We hire awesome people who are wired for service and arm them with the tools they need to have a life-changing impact on others. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Hospitals and Health Care Referrals increase your chances of interviewing at DUOS by 2x
#J-18808-Ljbffr
We are seeking a Principal Analytics Platform Engineer who will own DUOS’ entire data foundation. They 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. This role is responsible for evolving DUOS from manual analytics and ad-hoc SQL stitching into a modern, automated, AI-enabled analytics platform. They ensure that DUOS’ Senior Staff Data Analyst and business teams spend time on
insights , not data plumbing. What You’ll Do
Design and own DUOS' data architecture on AWS, ensuring scalable, maintainable infrastructure for all data operations Build robust, automated pipelines for client file ingestion, normalization, deduping, and enrichment. Architect scalable ingestion into Salesforce, Iterable, or other operational systems. Implement versioned, testable, 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 enabling 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, provider/member analytics, etc. 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. 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. What We Are Looking For
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 ability to own company-critical systems end-to-end. What DUOS is All About
DUOS is more than just a consumer-focused healthcare company. We’re on a mission to reimagine freedom at any age. We form trusted relationships with older adults using technology and community to support fulfilling lives at home. We hire awesome people who are wired for service and arm them with the tools they need to have a life-changing impact on others. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Hospitals and Health Care Referrals increase your chances of interviewing at DUOS by 2x
#J-18808-Ljbffr