The University of Texas at Austin Job Posting

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This posting is Closed

Senior Technology Architect - Big Data Architect

Hiring department Medical School
Monthly salary $7,500+ depending on qualifications
Hours per week 40.00 Standard from 800AM to 500PM
Posting number 18-02-02-01-9364
Job Status Closed
FLSA status Exempt
Earliest Start Date Immediately
Position Duration Funding expected to continue
Position open to all applicants
Location Austin (main campus)
Number of vacancies 1
General Notes

Timely, accurate, and comprehensive data is essential to advance the Dell Medical School's mission of revolutionizing how people get and stay healthy. The Data and Business Intelligence Group, part of the Information Technology department, supports the entire Dell Medical School by providing access to data and tools for research, clinical, and operations decisions and insights.

Required Application Materials

  • A Resume is required in order to apply
  • A Letter of Interest is required in order to apply.
  • A List of 3 References is required in order to apply.

Additional Information

Purpose

Architecting, designing, developing, and implementing the Dell Medical School's data warehouse and analytics solutions from the ground up.

Essential Functions

Architect state-of-the-art business intelligence and big data solutions that drive our operational, clinical, and research initiatives. Provide technology leadership and oversight on design, development, and implementation of data analytics and business intelligence solutions. Develop a practical roadmap for an enterprise-wide analytics platform. Define and manage the overall BI data architecture, including ETL processes, ODS/EDW/data marts/data lakes, and analtytical engines that power insights. Guide the development of applications, systems, technical and product standards based on long range plans and vision. Research and make recommendations relative to new technologies, and make recommendations of appropriate technologies to support the implementation of the BI and analytics roadmap. Deliver artifacts, technical documents, and architectural designs that meet business requirements. Collaborate with IT operations team in building a long-term support model.

Marginal/Incidental functions

Other related functions as assigned.

Required qualifications

Relevant experience typically exhibited by a Bachelor's degree in Computer Science, Mathematics, Statistics or other related fields and 5 years of related experience. Demonstrated experience in architecting small to medium sized BI or analytics solutions. A proven, demonstrable series of learning, achievements, and deliveries in data analytics and/or business intelligence. In-depth knowledge of cloud computing concepts, strategies, and methodologies including AWS and/or Azure. Knowledge of diverse and emerging BI technologies and new architectural concepts and principles. Knowledge of business operations, objectives, and strategies in the healthcare space. Highly developed oral and written communication skills; strong presentation skills. Experience with ETL methodologies and tools like Informatica, ODI, etc and reporting tools like Tableau, OBIEE, Cognos, etc. Experience with big data technologies such as Hadoop, MongoDB, and integrating them with traditional RDBMS (MS SQL or Oracle). Hands on experience with R, Tableau, MatLab, and/or SAS. Affiliations, certifications in technologies such as AWS, VMWare, and Azure. Proficient in Microsoft Office Suite. Equivalent combination of relevant education and experience may be substituted as appropriate.

Preferred Qualifications

M.S. Degree or equivalent professional experience. Exposure to MuleSoft a plus. The Dell Medical School is especially interested in qualified candidates who can contribute to diversity and excellence within the learning health system. At the Dell Medical School we strive to create a vital, inclusive health ecosystem. To ensure alignment, we follow these fundamental values: https://dellmed.utexas.edu/culture.

Working conditions

May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity

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