Senior Solutions Architect, Data Processing
NVIDIAFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Data Engineers require both SQL Database knowledge and design, along with multiple programming languages.
In 3 months, you'll learn the data connector life cycle, develop knowledge of technical stacks, storage platforms, data models, and Arcadia's development cycle, familiarize with existing pipelines, and start working on new ingestion pipelines.
This information is not specified in the job description.
This information is not specified in the job description.
Strong candidates will have experience driving solution architecture and completing data pipeline connectors, as well as the ability to deliver data reviews on code quality and test cases, contribute to scrum ceremonies, and align with career development goals.
Data-driven healthcare solutions and analytics
Arcadia focuses on improving healthcare outcomes through data-driven solutions in the healthcare sector, particularly in population health management. The company analyzes and manages the health outcomes of groups of people, serving clients such as healthcare providers, insurance companies, and government agencies. Its main product is a data platform that uses big data technology to process and store large volumes of healthcare data, allowing organizations to access and analyze this information effectively. This leads to better decision-making and enhanced patient care. Unlike many competitors, Arcadia offers a comprehensive suite of tools and consulting services that help clients optimize their use of the platform, particularly in areas like STARS HEDIS and risk adjustment accuracy. The goal of Arcadia is to improve efficiency in healthcare delivery, reduce disparities, and achieve better health outcomes for populations.