Virginia Polytechnic Institute and State University
Data Architect
Virginia Polytechnic Institute and State University, Blacksburg, Virginia, us, 24062
Data Architect
Job no:
531137 Work type:
Administrative & Professional Senior management:
Executive VP & Provost Department:
Analytics & Institutional Effective Location:
Blacksburg, Virginia Categories:
Information Systems / Technology, Other, Data Analytics / Security
Job Description
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. Responsibilities for the Data Architect include: •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
Required Qualifications •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
Preferred Qualifications •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
Pay Band
{lPayScaleID}
Appointment Type
Regular
Salary Information
80,000
Review Date
October 28, 2024
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact
Annabelle Fuselier
at
afusilie@vt.edu
during regular business hours at least 10 business days prior to the event.
Advertised:
October 2, 2024 Applications close:
Job no:
531137 Work type:
Administrative & Professional Senior management:
Executive VP & Provost Department:
Analytics & Institutional Effective Location:
Blacksburg, Virginia Categories:
Information Systems / Technology, Other, Data Analytics / Security
Job Description
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. Responsibilities for the Data Architect include: •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
Required Qualifications •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
Preferred Qualifications •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
Pay Band
{lPayScaleID}
Appointment Type
Regular
Salary Information
80,000
Review Date
October 28, 2024
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact
Annabelle Fuselier
at
afusilie@vt.edu
during regular business hours at least 10 business days prior to the event.
Advertised:
October 2, 2024 Applications close: