Senior Data (Technology) Architect and Analytics Lead (Solutions Architect) (Austin)

Job Posting Title :

Senior Data (Technology) Architect and Analytics Lead (Solutions Architect)

Hiring Department : Dell Medical School

Position Open To : All Applicants

Weekly Scheduled Hours :

40

FLSA Status : Exempt

Earliest Start Date :

Immediately

Position Duration :

Expected to Continue Until Aug 31, 2025

Location : AUSTIN, TX

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

Core Architecture Team : Responsible 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. Selecting 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 : Understand 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 : Lead and 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 : Deliver 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

Bachelor'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

Master'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 thatALLRequired 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 questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

Employment Eligibility :

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion / transfer eligible may apply for positions without supervisor approval.

Retirement Plan Eligibility :

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

Background Checks :

A criminal history background check will be required for finalist(s) under consideration for this position.

Equal Opportunity Employer :

The University of Texas at Austin, as an equal opportunity / affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

Pay Transparency :

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

Employment Eligibility Verification :

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

E-Verify :

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following :

• E-Verify Poster (English) [PDF]

E-Verify Poster (Spanish) [PDF