6 hours ago
Base Salary
$190k - $250k/yr
Responsibilities
- Design, build, and own high-throughput OLTP database systems for clinical and operational applications.
- Design schemas, write and tune complex queries, and implement indexing, partitioning, connection pooling, caching, replication, and high-availability improvements.
- Define application data-access and ORM practices for Python/Django services, including solving N+1 queries, lazy loading, transaction isolation, pool exhaustion, and read/write splitting.
- Set direction for database operations including uptime, capacity, backups, recovery, schema evolution, observability, SLOs, runbooks, and incident response.
- Own conceptual, logical, and physical transactional data models for patients, studies, cases, results, devices, master data, and reference data.
- Ensure data architectures, access controls, and data flows support FDA, HIPAA, GDPR, and other applicable requirements.
- Mentor engineers and drive cross-team architectural decisions, engineering standards, and technology selection.
- Optionally support data lake and analytics handoffs and semantic data structures for AI-agent context.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience; a master’s degree is preferred.
- 10+ years of relevant industry experience as a backend/application database engineer or data architect, including deep hands-on OLTP experience supporting production web applications or services.
- Deep experience with relational databases such as PostgreSQL, MySQL, or Aurora, including schema design, query optimization, indexing, partitioning, replication, and HA/DR.
- Strong Python backend and web-service data-layer experience with expert fluency in SQLAlchemy and/or the Django ORM.
- Expert transactional data modeling experience, including 3NF or equivalent modeling and healthcare or clinical domains.
- Experience with database performance tuning, operational excellence, cloud data systems, and AWS cost, security, and reliability tradeoffs.
- Experience working with clinical, imaging, or device data under FDA, HIPAA, and GDPR; FHIR, HL7, and DICOM familiarity is preferred.
- Experience mentoring senior engineers and influencing architecture across multiple teams and programs.
- Data warehousing, ETL, data lake or lakehouse concepts, semantic layers, metadata, schema registries, and ontologies are preferred or bonus qualifications.
Benefits
- Hybrid work arrangement is indicated by the #LI-Hybrid designation.
- The compensation package includes bonus and equity in addition to base salary.
Tech Stack
Categories
About Heartflow
HeartFlow develops an AI-driven, non-invasive coronary care platform that converts coronary CT scans into 3D models and physiologic assessments (FFRct), sold to hospitals and cardiology practices. Its HeartFlow One suite (including RoadMap, FFRct, and Plaque Analysis) supports diagnosis and management of coronary artery disease and is cleared for use in the US, UK, Europe, Japan, and Canada. The company is headquartered in San Francisco and is publicly traded on Nasdaq under the ticker HTFL.