Data Architect
3 weeks ago
DATA ARCHITECT
Job Summary: The Data Architect reviews and analyzes current data infrastructures, plans future databases, and implements solutions to
store and manage data for the organization and its users.
Minimum Education: Bachelor’s degree in Information Technology or related field.
Licensure, Registration and/or Certification: see below
Work Experience: Minimum 3 years of related experience. Experience within a healthcare environment, preferred.
Knowledge, Skills and Abilities:
Clarity/Caboodle certified; 5+ yrs experience building data models with Epic & non-Epic data
Working knowledge in Cloud/ Big Data solutions or related technologies. Working knowledge of data
management and governance concepts. Expertise in data architecture concepts such as data modeling, workflow management, ETL/ELT,
and real time streaming. Knowledge utilizing Microsoft Azure/Synapse/Power BI, Epic EHR, or Workday ERP. Understanding of data
governance principles and best practices. Excellent technical/non-technical oral and written communication skills. Strong analytical ability to
solve both business and technical problems with strong attention to detail. Proficiency working on concurrent projects with minimal
supervision.
Essential Functions and Responsibilities: Works collaboratively across teams to understand quality and performance improvement agendas
and corresponding data and analytics needs and recommends appropriate solutions. Translates business requirements into databases, data
warehouses, and data streams. Identifies internal and external data sources to establish data pipelines and works with product owners to
efficiently retrieve data. Develops new data models and implements tables and supporting objects in the Enterprise Data Warehouse (EDW)
database. Assists with populating, automating, and maintaining metadata to make the EDW easier to navigate and to facilitate good data
governance practices. Develops solutions to monitor usage and performance of EDW and notifies appropriate team of any developing
issues. Investigates performance issues with queries and Extract, Transform, Load (ETL) processes on the EDW and initiates solutions to
tune the database and optimize the speed of the loads. Provides support to data analysts for the most complex problems, employing
advanced SQL methods and innovative data visualization techniques. Develops and conducts end-user training and education for the use of
the EDW and its capacity for use in different areas of the organization. Contributes to the definition, review, and adherence to the EDW
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