Data Architect

Overview

Ardent Health is a leading provider of healthcare in growing mid-sized urban communities across the U.S. With a focus on people and investments in innovative services and technologies, Ardent is passionate about making healthcare better and easier to access. Through its subsidiaries, Ardent delivers care through a system of 30 acute care hospitals, 24,000+ team members and more than 280 sites of care with over 1,800 affiliated providers across six states.

POSITION SUMMARY :

The Data Architect will help build our enterprise data warehouse with SQL Server on-premises initially with plans for a hybrid cloud architecture. Other technologies include Astronomer, PowerBI, Power Platform, GoAnywhere, and Epic's EHR analytics infrastructure (e.g., Clarity & Caboodle databases). This role will be responsible for developing and implementing the overall data strategy, coordinating the efforts of the data team to build the EDW, ensure robust data governance, and guide existing teams to deliver scalable data solutions.

Responsibilities

• Develop and implement an enterprise data architecture strategy, ensuring alignment with business objectives.
• Design, build, and maintain PowerBI semantic models, datamarts, and data integration processes using Cloud & SQL Server on-prem solutions.
• Collaborate with stakeholders to gather and document data requirements, ensuring the architecture meets current and future business needs.
• Work with our new Data Governance team to design and implement data governance and data quality best practices for the EDW to ensure the integrity and reliability of data.
• Design and help develop the more complex ETL processes to support ETL / ELT from various data sources.
• Create and maintain technical documentation including data models, data flow diagrams, and data integration specifications.
• Provide guidance and support to development teams on data-related projects and initiatives.
• Monitor and optimize the performance of the data architecture, identifying and resolving issues as needed.
• Stay informed of industry best practices and emerging technologies in data architecture, quality, and analytics.
• Provide guidance to leadership and stakeholders on data-related tools and processes.

Qualifications

Education & Experience :

Knowledge, Skills & Abilities :