UT Southwestern needs to oversee the design, implementation, and ongoing management of its cloud-based data platform to ensure scalability, reliability, security, and to meet business needs from a data engineering and architecture perspective. This includes leading and building data pipelines and the Data/AI portfolio, supporting cloud data architecture delivery, and ensuring compliance with enterprise reference architecture and governance processes.
Requirements
- 10 years of professional software engineering experience in data, Cloud, and ML, with a proven track record of delivering enterprise-level Cloud Data Platforms
- Experience with SQL and NoSQL databases and their integration with AI models and RAG systems.
- Familiarity with enterprise data governance frameworks and the ability to integrate AI solutions within these frameworks.
- Familiarity with Azure cloud services and other cloud-based data platforms.
- Experience with data science and ML operations practices, including data pipelines, model training and evaluation, and CI/CD processes.
- Experience with enterprise architecture frameworks (e.g., TOGAF, Zachman) for capturing, maintaining, and aligning data architectures with broader enterprise architecture standards and business objectives.
- Demonstrated experience working in high-performance computing and Cloud-based environments.
Responsibilities
- Oversee the design, implementation, and ongoing management of our cloud-based data platform, ensuring it is scalable, reliable, secure, and meets business needs from a data engineering and architecture perspective
- Leads and builds data pipelines, and Data/AI portfolio of capabilities, products, and services.
- Supports the delivery of a cloud data architecture for a given initiative complying with enterprise reference architecture.
- Demonstrates understanding and/or experience in the collection/aggregation of Cloud specific use cases, workload estimates, performance considerations (capacity, throughput) and data orchestration components.
- Embraces a structure of demo, development, test, staging and production AI environments.
- Works with cross-functional business and IT teams to ensure proper performance of developed or acquired assets.
- Researches and shares emerging technologies, leading practices, and industry trends.
Other
- Bachelor's Degree bachelor's degree in computer science, Data, Engineering or a related field.
- Healthcare (clinical), research, academic and leadership experience is desired
- Understand the role of information technology as a stakeholder and enabler within the governance and oversight processes and committees across the institution.
- Participates in and demonstrates acumen for advisory, compliance and audit activities.
- Advises leadership and other stakeholders on configurations (implicit or explicit), guardrails, fitness, and limitations of AI technologies in a conversational manner tailored to healthcare, research, and academic aims.
