data
Posted Apr 29Data Architect
at Lightbank
Redwood City Usa, United StatesRemote
Responsibilities
- Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.
- Enable Agentic Workflows: Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.
Requirements
- Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way.
- You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types—ranging from structured EHR records to unstructured genomic and imaging data—are seamlessly accessible to autonomous AI agents.
- Qualifications Education: Bachelor’s Degree in Computer Science, Health Informatics, or a related field. Professional
- experience in the healthcare or life sciences domain.
- Modeling Mastery: Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.
- Advanced SQL & Python: Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.
- Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and
- experience implementing Master Data Management (MDM) solutions.
- Interoperability Standards: Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.
- Tools: Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.
- Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory. Cloud Architecture: Hands-on
- experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services. Specialized Clinical Data: Direct
Experience
- Experience: 7+ years in data architecture or enterprise modeling, with significant