Data Engineering Director
US$229,000 / yr base salary
Posted 1 Sep 2026
Advertised as “Sr. Director, Data Engineering + Integrations”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 15+ yrs
- Management level
- People management
| Base salary | US$229,000 / yr |
|---|
Field of studyBiomedical Informatics, Computer Science, Data Engineering, Engineering, Information Systems (or related)
Study levelBachelor's
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 Sr. Director, Data Engineering + Tooling will lead and scale Prolaio’s healthcare data engineering capabilities that power its clinical intelligence products, real-world data pipelines, analytics, data science, clinical operations, quality, and data services in a regulated environment, building secure, reliable, and AI-enabled data platforms that transform continuous, predictive, and shareable heart data into faster therapeutic discovery and better cardiovascular outcomes while operating as a self-starter senior leader in a growth-stage company. This role will ensure that core data engineering features and services are built with security, privacy, compliance, and auditability by design, and other regulatory expectations relevant to Prolaio’s clinical and patient-data environment. This role will partner with colleagues in Product, Engineering, Quality, Clinical Operations to embed security, privacy, HIPAA and regulatory expectations into every layer of the data engineering features. This is a role for a self-starter and experienced engineering leader who brings both organizational leadership and strong technical credibility in designing, building, and continuously enhancing data engineering and AI-enabled data pipeline features in a growth-stage company.
The Specifics
- Lead Prolaio’s enterprise data engineering strategy and roadmap to deliver secure, scalable, and reliable data platform capabilities aligned to clinical, research, product, and AI priorities in regulated healthcare settings.
- Architect and oversee end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads.
- Own the design and implementation of scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured clinical, operational, device, and patient-generated data relevant to Prolaio’s cardiovascular mission.
- Define and enforce engineering standards for data modeling, lifecycle management, lineage, provenance, traceability, and auditability, embedding HIPAA, privacy, security, and GxP-aligned practices into day-to-day development workflows.
- Partner closely with Data Architecture to design and govern conceptual, logical, and physical data models, apply healthcare standards (e.g., HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, CDISC), and deliver analysis-ready, interoperable datasets.