Data Architect - Healthcare Insights, Revenue Cycle
Core
Design and deliver a healthcare-wide AI data and context platform to turn structured and unstructured information into trusted, reusable building blocks for product innovation and agent reasoning.
Role type
Senior hands-on technical data architect (AI/Healthcare)
Builds
Production-grade AI data products, semantic layers, retrieval services, and agent-ready interfaces
Domain
Healthcare technology, Artificial Intelligence, Data Architecture
Deliverable
production ML models
Required skills
Data architecture, SQL, Python, Snowflake, Cloud data platforms (AWS/Azure/GCP), Vector search and embeddings, dbt, Cross-functional leadership
Preferred skills
LLM applications (RAG, agents), Knowledge graphs, Regulated environment data governance, Open table formats (Iceberg/Delta Lake)
Technologies
Snowflake, AWS, Azure, GCP, dbt, pgvector, Pinecone, Weaviate, OpenSearch, Elastic
Responsibilities
Design end-to-end platform architecture for unstructured data ingestion, parsing, enrichment, embeddings, and vector indexing; Define data contracts and context contracts for AI inputs; Implement security-by-design patterns including RBAC/ABAC and PII redaction; Drive cost and latency optimization across lakehouse and vector infrastructure; Lead technical roadmap decomposition and facilitate architectural decisions across teams.
Seniority
Senior, hands-on IC with future growth into people leadership
