Lead Prolaio’s enterprise data engineering strategy, architecture, pipelines, cloud data platforms, integrations, governance, and AI-enabled data capabilities for regulated healthcare applications. Build secure, scalable systems supporting clinical, device, patient-generated, research, analytics, and product data. Establish engineering standards for lineage, provenance, lifecycle management, privacy, HIPAA, and auditability. Hire and manage high-performing teams, influence cross-functional architecture decisions, and evaluate data platform vendors and tools.

Develop and optimize cloud-based data lakes and pipelines supporting analytics and machine learning. Build automated workflows using Python, SQL, Dagster, dbt, and comparable tools; transform raw data for reporting; and maintain secure, compliant handling of PII and PHI in a regulated SDLC. Collaborate with data scientists, product teams, and engineers to solve technical challenges and improve the data platform.