Description:

• This specific position will be involved in loading data from Big Data infrastructure to Microsoft Azure and Snowflake and in performing mapping of data fields from a number of proprietary data formats to FHIR resources.

Projects the candidate will be working on:

• Commercial cloud (Azure) based data platform that can serve both Care Delivery Organization (CDO) level data warehouse / data mart needs as well as to feed, transform and store clinical and administrative data for the Care Enterprise at a national level. Integration and distribution of data through a single platform, with that platform being a high-performance, highly scalable, elastic and highly secure commercial cloud will enable labor, infrastructure and non-cap tech savings across all participating CDO’s as well as in the Care national level.

Ideal Background:

• Healthcare data background, especially provider data (versus payer data), including clinical data.
• Experience with FHIR is highly desirable. Experience and deep background in various methods of ETL is required.
• Programming and full-stack development experience would be a great addition.

Experience:

• Provider data experience, FHIR experience.

Top Requirements:

• Healthcare specific data knowledge, FHIR, ETL

Team and Team size:

• This will be a new team with one lead, one Agile resource (scrum master, etc.), two FTE’s and four contractors. However, this team will work closely with other teams on the same project. Two development teams led by very senior technical folks, a Data Curation team and a Data Integration team.

Function Description:

• Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles.
• Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems.
• Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments.
• Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities.
• Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition.
• May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data.
• Selects, develops and evaluates personnel to ensure the efficient operation of the function.?

Core Tasks:

• · Maintain, improve, clean, and manipulate data in the business’s operational and analytics databases
• Design and deploy data platforms across multiple domains ensuring operability
• Transform data for meaningful analyses
• Improve data efficiency, reliability and quality
• Create data enrichment
• Build high performance
• Ensure data integrity
• Create and manage data stores at scale
• Ensure data governance - security, quality, access and compliance