Details-posted 1 day ago
Full-time • Mid Level
Blacksburg, VA
5,001-10,000 employees

The office of Analytics and Institutional Effectiveness (A&IE) is seeking an experienced data architect to join the Data and Analytics Infrastructure team (DAI). The A&IE office provides insights, information, and intelligence derived from institutional data, as well as support for the design and implementation of assessment strategies. The Data Architect will support this mission with a robust data strategy to ensure high data quality, effective data storage, and well-defined data governance. The ideal candidate should demonstrate a commitment to higher education and professional development.

  • Collaborate with data scientist to understand the data and define best practices for processing, cataloging, and analyzing the data
  • Manage, troubleshoot, and optimize extract, transform, and load (ETL) workflows
  • Design and implement a data lineage solution to track the lifecycle of the data
  • Review and implement policies to ensure the privacy and security of the data
  • Ensuring data is processed and stored in a way to support various use-case, including AI applications
  • Management and design of databases
  • Bachelor's degree in computer science, data science or a related field
  • Several years of professional experience as a data engineer or data architect
  • Experience designing and managing large ETL workflows
  • Proficiency in Python and data science packages such as Pandas and Numpy
  • Good understanding of multiple types of databases: relational, vector, graph, document
  • Good understanding of various types of data storage methods
  • Experience preparing and optimizing data for generative AI applications
  • Experience with data lineage tools and frameworks
  • Passion for implementing industry standards and best practices
  • Effective verbal and written communication skills
  • Willingness to learn and experiment with new technologies
  • Strong experience with Apache Airflow
  • Experience in the AWS ecosystem
  • Strong knowledge of data processing optimization tools and techniques
  • Experience administering PostgreSQL relational databases
  • Ability to build insights and visualizations based on business questions and available data
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