Senior Data – Architect and Analytics Lead – Technology – Solutions Architect
| Company | University of Texas – Austin |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- 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.
- 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.
Responsibilities
- Responsible for the overall data design and modeling, including 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.
- Define and manage the overall BI data architecture, including ETL processes, ODS/EDW/data marts/data lakes, and analytical engines that power insights.
- Overseeing advanced analytics projects, creating visualizations, and managing the process of exporting data for use in these projects.
- 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.
- 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.
- 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.
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.