Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architect
Inst Rsrch & Effectiveness - 110110
Is this an internal posting only?
Monday - Friday 8 am - 5 pm
UNT launches New Center of Excellence in Analytics and Data Visualization. The University of North Texas in Denton, Texas (north of Dallas) is seeking exceptional candidates to join us in our journey towards an enterprise-wide data and analytics program. These roles are housed within the Data, Analytics, and Institutional Research (DAIR) unit which, when fully staffed, will consist of 20+ professional staff charged with identifying creative data solutions to strategic issues in university management. We seek talented data modelers and data management specialists to allow us to leverage increasingly complex data to answer key questions, promote student success outcomes, and conduct deeper levels of analysis of enrollment, academic, and financial trends of interest. These roles will be able to work with leading industry toolsets including Hortonworks Hadoop, MuleSoft and SAS Data Integration Studio, Visual Analytics, and Visual Statistics while having access to a substantial array of professional and personal development options. DAIR seeks curious, collaborative, and hard working professionals who want to be a part of a team that is on the leading/bleeding edge of analytics to "do data for good".
UNT is categorized by the Carnegie Classification system as being a Tier 1 Research institution. UNT has almost 38,000 students across 120+ degree programs. Denton is ranked a Top 10 Best College Town by Livability.com in 2015 and 2016. DAIR participates in the UNT Faculty/Staff scholarship program to encourage team members to pursue advanced degrees and certificates at substantially reduced costs. As a higher education employer, DAIR values quality of life and work/life balance.
For an official application, job description, and listing of requirements, please visit https://jobs.unt.edu and search under administrative/professional/technical positions for the specific job title.
This position serves on the Data Modeling and Integration team in the Department of Data, Analytics, and Institutional Research. The position will assist with the implementation of the data warehouse and analytic programs, as well as various ad-hoc data modeling requests from university departments. This position will implement data models in SAS Data Integration Studio; additionally, it will utilize SQL programming in support of the data modeling effort. This position interfaces with large-scale and varied data-sets including student records, financial data, and other university information on a daily basis. Incumbent should be comfortable working in a project managed environment such as Agile SCRUM or other iterative life-cycle methods.
Responsibilities of the position include, but are not limited to:
* Support, design, implement & modify data modeling process as required to support data warehouse.
* Coordinate with development teams and other data warehouse SMEs to determine data modeling and transform process requirements.
* Provide on-call after-hours support when necessary to maintain data warehouse integrity and availability to end-users.
* Provide data models and actionable information to support University initiatives in reporting, querying, and analytics.
* Provide support for reporting toolsets, data modeling toolsets, and legacy data warehouse as needed.
* Assist with the development of dashboards and other data visualization projects for use by senior administrators.
* Other duties as assigned.
The University of North Texas System is firmly committed to equal opportunity and does not permit - and takes actions to prevent - discrimination, harassment (including sexual violence), and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, family status, genetic information, citizenship or veteran status in its application and admission processes, educational programs and activities, facilities, and employment practices. The University of North Texas System immediately investigates and takes remedial action when appropriate.
The University of North Texas System also takes actions to prevent retaliation against individuals who oppose a discriminatory practice, file a charge, or testify, assist or participate in an investigative proceeding or hearing.
The successful candidate will possess a Bachelor's Degree in related field and six years of related computing work experience; or any equivalent combination of education, training and experience. The following knowledge, skills, and abilities are required:
* Knowledge of data presentation methods including dashboards and other types of reports.
* Knowledge of data management, systems and architecture.
* Ability to mentor and train peers.
* Ability to operate computer keyboards and to install computer hardware.
* Ability to assimilate, retain and utilize technical and applications-oriented information.
The preferred candidate will possess the following additional qualifications:
* Experience in using BI, ERP, CRM, and Analytics platforms (SAS, Oracle, PeopleSoft, etc.).
* Experience in design, training, and implementation of large data projects.
* Ability to work with data from multiple sources.
* Strong knowledge of SQL and/or data modeling programming (hard coding, beyond writing queries).
* Experience designing and documenting ETL processes and tuning ETL performance.
* Working knowledge of AGILE planning methodologies and/or SCRUM approaches to project management.
* Knowledge of social media analytics and big data.
* Experience with higher education data.
* A collaborative team member who shares expertise, individual knowledge, and skills through working closely with others to increase value to the University.
* A learning team member who is open to expanding their skills and desires to view challenges as an opportunity to grow.
* A positive team member who is both introspective and interpersonal in their approach to solving problems.
* Represent the team in a professional manner within our community and in other professional settings.
Special Instructions to Applicants
Applicants must submit a resume with their online application
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Job Close Date
Open Until Filled
Salary Commensurate with Experience
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