Overview
On Site
Full Time
Skills
Information Technology
Dell
Database Design
Modeling
Data Management
ODS
Data Marts
Analytical Skill
Data Structure
Analytics
Decision Support
Real-time
Decision-making
Publications
Presentations
Writing
Collaboration
IT Operations
Technical Writing
Big Data
Extract
Transform
Load
Health Care
Cisco Certifications
HL7
Electronic Health Record (EHR)
SQL
Database
Advanced Analytics
Communication
IaaS
Management
Data Storage
Cloud Security
Cloud Computing
Computer Science
Information Systems
Data Modeling
Data Warehouse
Data Architecture
Business Intelligence
Epic
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Workday
Job Details
General Notes
The Office of Information Technology at the Dell Medical School is looking for a Senior Data (Technology) Architect and Analytics Lead (Solutions Architect).
This is a temporary position with an end date of 08/31/2025.
Purpose
The Senior Data (Technology) Architect & Analytics Lead will be a key member of UT-HIP program and Dell Medical School, focusing on the design and implementation of data structures and advanced analytics projects. This role will involve a deep understanding of data design, modeling, table and database design, and the use of advanced analytics tools and strategies.
Responsibilities
Required Qualifications
B achelor's degree in Computer Science , Information Systems, or a related field. A minimum of 5-7 years of experience in data architecture, data modeling, and data warehousing. Experience with business intelligence and big data solutions. Experience with ETL processes and tools. Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus. Experience with Epic or other electronic health record (EHR) systems. Proven experience in leading and managing advanced analytics projects. Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required . This includes experience in developing, deploying, and managing applications and data storage on these platforms. Strong knowledge of data architecture principles and best practices. Proficiency in SQL and other database technologies. Knowledge of advanced analytics tools and strategies. Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience. Ability to lead teams and manage complex projects. Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud. Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
M aster's degree or higher in Computer Science, Information Systems, or a related field. A minimum of 10 years of experience in data architecture, data modeling, and data warehousing. Certifications related to data architecture, business intelligence, or related fields would be beneficial. EPIC Certifications. Certifications in Azure, AWS, or Google Cloud Platform would be a plus.
Salary Range
OPEN
Working Conditions
Required Materials
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
The Office of Information Technology at the Dell Medical School is looking for a Senior Data (Technology) Architect and Analytics Lead (Solutions Architect).
This is a temporary position with an end date of 08/31/2025.
Purpose
The Senior Data (Technology) Architect & Analytics Lead will be a key member of UT-HIP program and Dell Medical School, focusing on the design and implementation of data structures and advanced analytics projects. This role will involve a deep understanding of data design, modeling, table and database design, and the use of advanced analytics tools and strategies.
Responsibilities
- Core Architecture Team: R esponsible for the overall data design and modeling. This includes designing tables and databases that are efficient, scalable, and meet the needs of the program and organization . S electing and implementing advanced analytics tools and strategies to help the program gain insights from their data.
- Data Management & Analytics: define and manage the overall BI data architecture, including ETL processes, ODS/EDW/data marts/data lakes, and analytical engines that power insights. This involves overseeing advanced analytics projects, creating visualizations, and managing the process of exporting data for use in these projects.
- Epic + EHRs: U nderstand the data structure of the EHRs, how to extract and export data from them, and how to transform (ETL - Extract, Transform, Load) that data for use in analytics projects. Understand real-time decision support systems, which provide clinicians with real-time information to aid in decision-making. Knowledge of FHIR (Fast Healthcare Interoperability Resources), CCDA (Consolidated Clinical Document Architecture), and HL-7 (Health Level Seven International), which are standards for exchanging healthcare information electronically.
- Presentations + Publications: Land participate in the creation of presentations and publications. Including presenting work at conferences, writing articles for publication in academic journals, or creating reports for internal stakeholders. This responsibility requires strong communication skills and the ability to explain complex technical concepts to a non-technical audience.
- Technical Documentation: D eliver artifacts, technical documents, and architectural designs that meet business requirements . Collaborate with the IT operations team in building a long-term support model. Creating and maintaining technical documentation for the program and organization projects, architecture, and data designs.
- Other related duties as assigned.
Required Qualifications
B achelor's degree in Computer Science , Information Systems, or a related field. A minimum of 5-7 years of experience in data architecture, data modeling, and data warehousing. Experience with business intelligence and big data solutions. Experience with ETL processes and tools. Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus. Experience with Epic or other electronic health record (EHR) systems. Proven experience in leading and managing advanced analytics projects. Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required . This includes experience in developing, deploying, and managing applications and data storage on these platforms. Strong knowledge of data architecture principles and best practices. Proficiency in SQL and other database technologies. Knowledge of advanced analytics tools and strategies. Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience. Ability to lead teams and manage complex projects. Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud. Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
M aster's degree or higher in Computer Science, Information Systems, or a related field. A minimum of 10 years of experience in data architecture, data modeling, and data warehousing. Certifications related to data architecture, business intelligence, or related fields would be beneficial. EPIC Certifications. Certifications in Azure, AWS, or Google Cloud Platform would be a plus.
Salary Range
OPEN
Working Conditions
Repetitive use of a keyboard at a workstation.- Occasional interstate, intrastate and international travel.
Required Materials
Resume/CV- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.