This position provides leadership in data management and data architecture infrastructure across the University. They are responsible for building and maintaining data pipelines that enable the flow of data from various sources into a data warehouse for analysis, visualization, and reporting purposes. The person in this position will work with I.T. and university stakeholders to create a modern framework for institutional analytical decisions to optimize student success and university business operations.

PRIMARY DUTIES

1. Support a data architecture to dynamically address data ingestion from various sources, integration, and data warehousing and analytics processes.

2. Consult with stakeholders and build data pipelines to collect data from different sources and process it to provide context for data analytics.

3. Build and maintain data warehouses and data lakes.

4. Develop and maintain data APIs and services for accessing data.

5. Ensure data quality and accuracy through data validation, cleansing, and other best practices for data management and data governance.

6. Monitor and troubleshoot data pipelines and systems.

7. Work closely with Data and Business Analysts to ensure data is available and accessible for analysis and modeling.

8. Collaborate on the research of emerging technologies supporting data platform efforts and recommend technologies that increase cost-effectiveness and systems flexibility. For example, identifying opportunities to automate repeatable and time-consuming data preparation and integration tasks.

9. Communicate the status of work to leadership and team members.

10. Education and training on data management infrastructure and data and analytics capabilities.

11. Performs other duties as required/assigned by the manager.

KNOWLEDGE, SKILLS AND ABILITIES REQUIRED

• Minimum 3 years of experience in a Data Engineer role and a Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Engineering, or Information Systems.

• A successful history of manipulating, processing, and extracting value from large disconnected datasets, including relational SQL and NoSQL databases.

• Experience building and optimizing big data pipelines, architectures, and data sets.

• Deep understanding of database design and management.

• Experience in cloud infrastructure and cloud computing platforms.

• Advanced working knowledge and experience with Analytics and Business Intelligence solutions or any data discovery tolls.

• Knowledge of Linux.

• Strong project management and organizational skills to prioritize and execute tasks in a high-pressure environment and the ability to work collegially and interact effectively with a diverse constituency.

• Experience working in an agile environment and applying DevOps and DataOps principles to improve communication, integration, reuse, and automation of data flows between data stewards and consumers across an organization.

KNOWLEDGE, SKILLS AND ABILITIES PREFERRED

• Experience in Azure

• Experience in Data Science

• Experience using ERP in a higher-ed setting

• This position does not require driving a company/university vehicle.

WORKING CONDITIONS

• Normal office environment. Some travel may be required.

Salary: Commensurate with experience

Division: Information Technology

Campus: Allendale

How To Apply:  Please include a cover letter and resume. The online application will allow you to attach these documents electronically. If you need assistance, call Human Resources at 616-331-2215.

Application Deadline:  October 19, 2024

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Must have the physical stamina to work long hours and/or more than 5 days per week.  The requirements listed are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The information contained in this job description is for compliance with the Americans with Disabilities Act as amended by the ADA Amendment Act (2008), Section 504 of the Rehabilitation Act of 1973, and other applicable federal and state laws that prohibit discrimination on the basis of disability. GVSU will provide reasonable accommodations to qualified individuals with disabilities upon request. See www.gvsu.edu/affirmative/. TDD Callers: Call Michigan Relay Center at 711 (in State) or 1-800-833-7833 (out of State).

Grand Valley State University is an Affirmative Action/Equal Opportunity Employer, which includes providing equal opportunity for racial and ethnic minorities, women, protected veterans and individuals with disabilities. University policy extends protections to additional identities.