Prolaio
Healthcare
DataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Architect at Prolaio. Skills: Data architecture, Healthcare data, Data platforms, Clinical intelligence. Define target-state data architecture. Define data architecture roadmap”
What You'll Achieve.
Transform data into platforms; Enable faster therapeutic discovery; Enable better cardiovascular outcomes
Industry & Context.
What They're Looking For.
Must Have
Bachelor's degree in computer science, 10 years of experience in healthcare, 5 years in clinical data, Architected healthcare data platforms, Experience with structured data, Experience with semi-structured data, Experience with unstructured data, Experience in regulated environments, Experience in validated environments, Experience with cardiology wearables data, Experience with claims data, Experience with socio-economic data, Experience with behavioral data, Experience with cross-functional teams, Partnering with Product teams, Partnering with Engineering teams, Partnering with Data Science teams, Partnering with Analytics teams, Partnering with Clinical Operations teams, Partnering with Quality teams, Partnering with Security teams, SQL skills, Python skills
Nice to Have
GCP familiarity, AWS familiarity, Azure familiarity, Snowflake familiarity, Databricks familiarity, BigQuery familiarity, Redshift familiarity, Synapse familiarity, Dbt experience, Airflow experience, Dagster experience, Spark experience, Kafka experience, Fivetran experience, Informatica experience, Talend experience, APIs familiarity, Event-driven architectures familiarity, Interoperability frameworks familiarity, HL7 familiarity, FHIR familiarity, Metadata tools familiarity, Lineage tools familiarity, Catalog tools familiarity, Governance tools familiarity, AI-enablement tools familiarity, Semantic indexing platforms familiarity, Vectorization platforms familiarity, Retrieval platforms familiarity, Data lifecycle automation platforms familiarity
What You'll Do.
Define target-state data architecture
Define data architecture roadmap
Architect scalable data platforms
Architect secure data platforms
Architect interoperable data platforms
Support structured data
Support semi-structured data
Support unstructured data
Support clinical data sources
Support operational data sources
Support device data sources
Support patient-generated data sources
Lead architecture decisions for storage
Lead architecture decisions for compute
Lead architecture decisions for orchestration
Lead architecture decisions for metadata
Lead architecture decisions for APIs
Lead architecture decisions for integration patterns
Establish architecture standards
Establish reference patterns
Design conceptual data models
Design logical data models
Design physical data models
Model clinical trials data
Model cardiovascular data
Model physiological data
Model real-world data
Model medication data
Model socio-economic data
Model behavioral data
Model healthcare datasets
Apply healthcare terminologies
Apply common data models
Standardize data sources
Normalize data sources
Create analysis-ready datasets
Architect end-to-end data flows
Architect reusable pipelines
Manage data ingestion
Manage data validation
Manage data transformation
Manage data enrichment
Manage data publishing
Manage data retention
Manage data decommissioning
Define data lifecycle management practices
Support data traceability
Support data reproducibility
Support data provenance
Support data auditability
Design data architectures for AI
Design data architectures for analytics
Design data architectures for machine learning
Support feature generation
Support retrieval workflows
Support governed access
Support production deployment
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams; Data Science teams; Analytics teams; Clinical Operations teams; Quality teams; Security teams
Full Job Description
Who Are We? 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. This is precision cardiology, and we know it’s within reach. What Will You Do? The Overview 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. 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. The Specifics 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. 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. Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern
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