Principal Data Engineer, R&D
Core
Define data architecture and strategy for AI and data products serving clinicians and patients in structural heart failure management.
Role type
Principal Data Engineer (R&D)
Builds
Software and data products for implantable heart failure management
Domain
Healthcare / Medical Devices / AI
Deliverable
production ML models | infrastructure
Required skills
data platform architecture, distributed processing, large-scale data modeling, data governance, data validation, data integrity
Preferred skills
multi-cloud data architecture, technical direction setting, healthcare interoperability (HL7/FHIR/IHE), device telemetry at scale
Technologies
Databricks, Snowflake, GCP, AWS, Apache Spark, Kafka, Flink, Delta Lake, Iceberg, Airflow, dbt
Responsibilities
Define data architecture and platform strategy across multiple product areas; Lead complex data engineering problems including interoperability and device-data scale; Set standards for ingestion, modeling, governance, lineage, quality, and SLAs; Establish validated and traceable data pipelines
Seniority
Principal, strategy & mentorship
