Data Architect, Clinical

<p><strong>Who Are We?</strong></p> <p>Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.</p> <p>This is precision cardiology, and we know it’s within reach.</p> <p><strong>What Will You Do?</strong></p> <p><strong>The Overview</strong></p> <p>The Data Architect will shape the backbone of Prolaio’s healthcare data ecosystem, defining and scaling the architectures that power clinical intelligence products, real‑world data pipelines, analytics, data science, clinical operations, quality, and other enterprise use cases in a regulated environment. In this role, you turn complex clinical and operational data into interoperable, trustworthy, and scalable platforms that enable Prolaio to transform continuous, predictive, and shareable heart data into faster therapeutic discovery and better cardiovascular outcomes.&nbsp;</p> <p>This role is ideal for a self‑starter with deep healthcare data experience who wants to architect modern platforms across structured, semi‑structured, and unstructured data, embedding lifecycle management, standardization, lineage, provenance, compliance, and AI enablement into the foundation of Prolaio’s data ecosystem.</p> <p><strong>The Specifics</strong></p> <ul> <li>Define the target-state data architecture and roadmap for Prolaio’s regulated healthcare data platform in support of product, analytics, data science, data services, clinical operations, and quality use cases.</li> <li>Architect scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured data across clinical, operational, device, and patient-generated sources relevant to Prolaio’s cardiovascular and research mission.</li> <li>Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms.</li> <li>Establish architecture standards and reference patterns that support reliability, performance, extensibility, and validated operation in regulated settings.</li> <li>Design and govern conceptual, logical, and physical data models for clinical trials, cardiovascular and physiological data, real-world data, claims, medication, socio-economic, behavioral, and related healthcare datasets.</li> <li>Apply healthcare terminologies, ontologies, and common data models where appropriate, including standards such as HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, and CDISC.</li> <li>Lead ef