Data Architect
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
