899,872open jobs
55,626companies
151,463added this week
Browse all
Salary
≈ $127k – $254k per year (Estimated)
Location
Hybrid (Chicago, United States)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Jun 8, 2026.

Overview
Company
Impact
Profile match
Prolaio turns continuous, real-world heart data into faster discovery today and precision care tomorrow. Meet the team behind the platform.

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 data platforms.
  • Establish architecture standards and reference patterns that support reliability, performance, extensibility, and validated operation in regulated settings.
  • 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.
  • Apply healthcare terminologies, ontologies, and common data models where appropriate, including standards such as HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, and CDISC.
  • Lead efforts to standardize and normalize disparate data sources into governed, reusable, analysis-ready datasets suitable for regulated workflows, clinical research, and product development.
  • Architect end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads.
  • Define and implement data lifecycle management practices that support retention, access control, traceability, reproducibility, lineage, provenance, and auditability in regulated healthcare environments.
  • Design data architectures that enable AI, analytics, and machine learning use cases by supporting feature generation, retrieval workflows, governed access, and production deployment needs.

Why Prolaio?

  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that’s never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?

  • Bachelor’s degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field.
  • Minimum 10 years of experience in healthcare, life sciences, medtech, digital health, or other patient-data-focused environments, including at least 5 years in clinical data, real-world data, clinical trials data, or other patient-centered data platforms.
  • Demonstrated experience architecting healthcare data platforms that support structured, semi-structured, and unstructured data in regulated or validated environments.
  • Deep understanding of data from cardiology focused wearables devices, claims, socioeconomic, behavioral, and EHR.
  • Deep understanding of healthcare data domains, data modeling, standardization, normalization, and the application of healthcare terminologies and common data models.
  • Strong experience working in a cross-functional, matrixed organization and partnering effectively with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, and Security teams, with the ability to operate as a self-starter in a growth-stage environment.
  • Strong familiarity with cloud platforms such as GCP, AWS, or Azure and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable environments.
  • Experience with ETL or ELT, orchestration, and large-scale data processing tools such as dbt, Airflow, Dagster, Spark, Kafka, Fivetran, Informatica, Talend, or similar technologies.
  • Strong SQL and Python skills, with familiarity in APIs, event-driven architectures, interoperability frameworks, and clinical data exchange patterns such as HL7 and FHIR
  • Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation.

Why You’ll Love Working Here

  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $148,000.00 (Exact Compensation may vary based on skills, experience, and location)

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
899,872 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Chicago
$160k – $298k per year • Equity • In office • Full-Time • 8+ years exp • Master's Degree • San Diego
Python
SQL
AI/ML
Time Series Forecasting
Machine Learning
Apply
$218k – $230k per year • Equity • Remote (United States, Canada) • 6+ years exp
AI/ML
Machine Learning
Apply
$194k – $205k per year • Equity • Remote (United States, Canada) • 4+ years exp • Bachelor's Degree
Analytics
A/B Testing
Apply
$136k – $177k per year • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Arlington
Python
SQL
Python
pySpark
Databases
MySQL
PostgreSQL
Snowflake
Databricks
Delta Lake
DynamoDB
Amazon Aurora
AI/ML
Spark
MLFlow
Scikit-learn
Prompt Engineering
TensorFlow
PyTorch
DevOps
Terraform
CI/CD
AWS
FinOps
SLI/SLO/SLA
Amazon S3
Analytics
Power BI
Looker
Apply
$128k – $190k per year • Hybrid • Full-Time • 6+ years exp • Bachelor's Degree • Arlington
Python
SQL
Python
pySpark
Databases
Snowflake
Databricks
DynamoDB
Apache Kafka
Google BigQuery
BigQuery
AI/ML
Copilot
Cursor
Spark
Claude Code
Prompt Engineering
Machine Learning
DevOps
Azure
CI/CD
AWS
Amazon S3
Analytics
ETL/ELT
Dimensional Modeling
Apply
$121k – $201k per year • Hybrid • 8+ years exp • Bachelor's Degree • San Diego
Python
SQL
Databases
SAP HANA
Snowflake
AI/ML
Dagster
dbt
Prefect
Supervision
DevOps
Terraform
Ansible
CloudFormation
CI/CD
Git
AWS
Platform Engineering
AWS Lambda
Amazon S3
Analytics
Dimensional Modeling
Management
Jira
Agile
Scrum
Microsoft Office
Apply
≈ $80k – $188k per year (Estimated) • Remote (Canada) • Bachelor's Degree • Vancouver
Python
Java
SQL
C++
Databases
MySQL
PostgreSQL
Oracle
ClickHouse
ElasticSearch
Apache Kafka
AI/ML
Hadoop
Spark
DevOps
Ansible
Prometheus
Docker
Kubernetes
GitHub
Linux
Analytics
Apache NiFi
Management
Telegram
Apply
$136k – $226k per year • Hybrid • 10+ years exp • Bachelor's Degree • San Diego
Python
ABAP
ABAP
SAP Fiori
SAP BTP
ABAP Objects
DevOps
Rest API
Ansible
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Incident Management
GitHub
SOAP
Apply
≈ $54k – $150k per year (Estimated) • Remote (Canada) • 3+ years exp • Ottawa
Python
SQL
C++
Databases
ClickHouse
ElasticSearch
DevOps
Rest API
GitHub Actions
CI/CD
Docker
GitHub
Linux
Cybersecurity
Trivy
Grype
Apply
Node.js Developer 3 days ago
≈ $64k – $184k per year (Estimated) • Remote (location not specified) • 3+ years exp
JavaScript
TypeScript
Node JS
Databases
Redis
AI/ML
Claude
OpenAI Codex
DevOps
Rest API
GCP
CI/CD
Docker
Kubernetes
Cybersecurity
GDPR
Apply
Data Engineer 1 month ago
≈ $94k – $180k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Chicago
Python
SQL
Databases
Snowflake
Databricks
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
Dagster
dbt
Prefect
Machine Learning
DevOps
GCP
Azure
AWS
Apply
≈ $124k – $272k per year (Estimated) • In office • 15+ years exp • Bachelor's Degree • Chicago
AI/ML
LLM Guardrails
ISO 42001
DevOps
GCP
Azure
AWS
Kubernetes
Cybersecurity
ISO 27001
HIPAA
Zero Trust
Threat Modeling
Apply
≈ $151k – $283k per year (Estimated) • Hybrid • 15+ years exp • Bachelor's Degree • Chicago
Python
JavaScript
Java
TypeScript
SQL
C#
C#
.NET
Databases
Snowflake
Databricks
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
AI Agents
Semantic Search
Semantic Search
Frontend
Angular
DevOps
GCP
Azure
AWS
Platform Engineering
Cybersecurity
HIPAA
Analytics
Master Data Management
Apply
≈ $120k – $261k per year (Estimated) • In office • 15+ years exp • Bachelor's Degree • Chicago
Python
JavaScript
Java
TypeScript
SQL
C#
C#
.NET
Frontend
Angular
DevOps
GCP
Platform Engineering
Cybersecurity
HIPAA
Apply
In office • Bachelor's Degree • Chicago
DevOps
GCP
Marketing
Zendesk
Apply
≈ $89k – $174k per year (Estimated) • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • Madison • Minneapolis • Chicago • Waltham • Indianapolis
Python
SQL
PowerShell
AI/ML
Machine Learning
Analytics
ETL/ELT
Apply
Senior Data Scientist 8 hours ago
$132k – $156k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • New York • Minneapolis • San Francisco • Chicago • Denver
Python
SQL
SAS
AI/ML
Machine Learning
Apply
$76k – $86k per year • In office • Full-Time • 3+ years exp • Associate's Degree • Chicago
Apply
$96k – $144k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • New York • Pasadena • San Francisco • Los Angeles • Portland
Analytics
Microsoft Excel
Apply
$126k – $182k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco • Pasadena • Portland • Frisco • Irvine
Analytics
Microsoft Excel
Apply
See all jobs
This is one of many
899,872 more open roles from verified company boards, updated every day.