Responsible for defining Data and Analytics architecture, developing an implementation plan, and providing thought leadership for all data engineering.
Build out Data Pipelines and Services at scale in collaboration with engineering peers and leads.
Work with Tech Lead, Product, and peer engineers to build out Data and Analytics Architectures and Services to ingest, store and enrich Life Sciences and Healthcare data set.
Build on all aspects of building the Data Services - including infrastructure (Compute, Storage, Networking), Data Ingestion (batch and streaming), Data Store, Data Catalogs, ETL, and Analytics.
Help build out vertical SaaS applications to drive significant impact to our business.
Ensure engineering designs are guided by high performance, scalability, and security, following strict healthcare policy compliance, with low cost.
Agile through experimentation, prototyping, and solid execution.