Role : Data Architect
Location : Nashville, TN
Role type : Hybrid (3 days onsite)
Project Details – Size, Scale, Scope? How does candidate fit into this?
The Enterprise Data Architect will be working across several levels and need to be open to collaboration with difference of opinions and perspectives coming from other individuals.
Day to Day Responsibilities/typical day look like:
Supporting the Design of a GCP clinical data store for machine learning. Won’t need to start from scratch. Moving into lake house architecture. Implementing data strategy from enterprise high level projects. Uplifting 190 hospitals to new electronic health record system. Will work closely with the new Principal Architect for high availability, business continuity, etc.
Maturing and evolving lake house implementation to production in Q1. Started in September. Just finishing proof of technology.
Responsible AI gen models
Building out a sandbox lake house that will mirror Databricks and Synapse.
New data store ingestion
Don’t need to be GCP expert (they do have a GCP partnership), supporting configurations and best practices, when services is enabled, etc.
8000 applications, 100 thousand of servers, 1 million user identities, several source systems, every EHR on the market
Need them to learn for 1st year and lead work streams
What are the top 3 MUST HAVE technologies or Required experience for the position?
NICE TO HAVES (OR WHAT GETS THE WIN)?
architect