Data Architect – Digital Health Platform (AWS + Databricks)
We’re looking for a Data Architect to lead the design of secure, scalable, and intelligent data platforms powering next-gen healthcare solutions for patients with chronic conditions.
You’ll work on a modular digital health ecosystem that blends real-time data, remote monitoring, and patient-facing tools — bridging the gap between clinical care and daily life. This is a hands-on architecture role where you’ll define DWH, data lake, ELT, and governance strategy on AWS and Databricks.
Join a global team on a mission to transform healthcare through data-driven insights, scalable platforms, and smart, privacy-aware design.
Key Responsibilities
* Architect and implement federated data management and data lakehouse systems using AWS and Databricks
* Design conceptual, logical, and physical data models across clinical and consumer domains
* Define and enforce data governance, access control, and privacy standards (e.g., HIPAA, GDPR)
* Collaborate cross-functionally with engineers, clinicians, and data scientists to enable actionable healthcare insights
* Build ELT/ETL pipelines for health data ingestion and analytics
* Implement secure, compliant storage of patient and caregiver data
* Evaluate new tools (DataOps, mesh, AI/ML integrations) to continuously evolve the data platform
Requirements
* 8+ years in data engineering/architecture roles
* 4+ years with AWS DWH services, S3, Redshift, Glue, etc.
* Deep experience with Databricks
* Strong SQL + one language: Python / Java / Scala
* Proven experience designing DWH, data lakes, and pipelines
* Strong with RDBMS, NoSQL, data modeling tools
* Understanding of data quality, governance, privacy
* Bonus: experience with DataOps, data mesh, or AI/ML pipelines