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DATA MODELER
One of the country’s most selective public research universities, Clemson University serves a uniquely driven and highly accomplished student body.
Ranked consistently as one of the best national public university by U.S.News & World Report, Clemson is a science- and engineering-oriented college dedicated to teaching, research and service. Founded in 1889, we remain committed both to world-class research and a high quality of life. In fact, 91 percent of our seniors say they’d pick Clemson again if they had it to do over.
Clemson’s retention and graduation rates rank among the highest in the country for public universities. We’ve been named among the best values by Kiplinger magazine in 2013, and SmartMoney in 2012 ranked us No. 7 in student return on investment.
Our beautiful college campus sits on 1,400 acres in the foothills of the Blue Ridge Mountains, along the shores of Hartwell Lake. But we also have research facilities and economic development hubs throughout the state of South Carolina — in Greenville, Greenwood, Columbia and Charleston.
WELCOME TO CLEMSON!
Clemson is calling...are you ready to answer the call?
One of the most productive public research universities in the nation, Clemson University attracts and powerfully unites students, faculty and staff whose greatest desire is to make a difference in the lives of others.
Clemson has recently been named a top 25 public college in the country by the Wall Street Journal, a top South Carolina employer by Forbes and a Military Friendly Employer for five years running. Through our research, outreach and entrepreneurial projects, Clemson University and its employees are driving economic development and improving quality of life in South Carolina and beyond.
So,... are you ready?
JOB SUMMARY:
Clemson University is looking for a Data Modeler to fulfill the following duties:
- The Data Modeler will be responsible for designing, developing, and maintaining data models for a cloud-based data warehouse.
- The data modeler plays a crucial role in supporting efficient data management and analytics within the organization.
- This role is essential in optimizing data architecture, translating business initiatives into robust data models, and enhancing data integrity, availability, and performance.
- Responsible for developing conceptual, logical, and physical data models.
- Performs other duties as assigned.
MODERNIZING HOW CLEMSON WORKS Workday@Clemson
Clemson University is investing in a new enterprise resource planning (ERP) system, Workday@Clemson, that supports enterprise-wide modernization of core HR and Finance processes and tasks. We will efficiently and strategically transition to a new system that supports both the efforts of the University's bold strategic initiative ¿ Clemson Elevate, as well as the needs of our students, faculty, staff and partners. The focus on modernizing daily, recurring tasks will keep Clemson employees engaged and give them more time to focus on high-priority and mission-critical work like teaching, research and service.
Clemson¿s Workday platform will integrate and streamline key University functions with an enterprise-wide solution that supports Clemson¿s campuses, statewide locations and related organizations. Workday@Clemson will replace an antiquated system with a cutting-edge, intelligently designed one that allows for faculty, staff, student workers, and administrators alike to intuitively complete a number of critical business processes through a highly coordinated system that offers a smooth user experience.
To learn more about Workday@Clemson Click Here!
JOB DUTIES:
45% - Essential - Data Modeling:
Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets. Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
25% - Essential - Consultation and Communication:
Collaborate with database administrators and software engineers to implement and maintain data models in databases, cloud data warehouses, and data lakes. Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models.
15% - Essential - Documentation:
Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models. Develop data modeling best practices, and use these standards to identify and resolve data modeling issues and conflicts.
15% - Essential - Optimization and Performance:
Conduct performance tuning and optimization of data models for efficient data access and retrieval. Incorporate core data management competencies, including data governance, data security and data quality. Conduct code reviews on a regular basis to improve quality and ensure compliance.
MINIMUM REQUIREMENTS:
Education - Bachelor's Degree in information technology or related field
Work Experience - Experience in business administration, computer science, mathematics, engineering, management information science, networking-telecommunications, and/or data processing. Relevant experience may be substituted for bachelor's degree on a year-for-year basis.
PREFERRED REQUIREMENTS:
Work Experience - 5+ Years of experience in data modeling, database design, or related field. Hands-on relational, dimensional, and analytical project experience using RDBMS, NoSQL data platform technologies, and ETL. At least 5 years working with Cloud data warehouse technologies and tools. Experience with Snowflake and Snowpark.
- Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications.
- Proficiency in relational databases and data structures, including structured and unstructured data formats.
- Strong understanding of data privacy and security
- Expert knowledge of data modeling concepts, methodologies, and best practices
- Proficiency in data modeling tools such as Erwin or ER/Studio
- Knowledge of relational databases and database design principles
- Familiarity with dimensional modeling and data warehousing concepts
- Strong SQL skills for data querying, manipulation, and optimization, and knowledge of other data science languages, including JavaScript, Python, and R
- Ability to collaborate with cross-functional teams and stakeholders to gather requirements and align on data models
- Excellent analytical and problem-solving skills to identify and resolve data modeling issues
- Strong communication and documentation skills to effectively convey complex data modeling concepts to technical and business stakeholders
RESPONSIBILITIES
JOB KNOWLEDGE
Comprehensive Job Knowledge - Comprehensive knowledge of theories and practices and ability to use in complex, difficult and/or unprecedented situations
SUPERVISORY RESPONSIBILITIES
No Supervisory Duties - Not responsible for supervising employees.
BUDGETARY RESPONSIBILITIES
No Budget Responsibilities - No fiscal responsibility for the department's budget.
PHYSICAL REQUIREMENTS:
100% - Communicate, converse, give direction, express oneself
100% - Recognize or inspect visually
100% - Perceive, observe, clarity of vision
WORKING CONDITIONS:
No Work Conditions
WORK SCHEDULE:
Standard Hrs: 37.5
COMPENSATION INFORMATION
Expected Salary Range: ($ 83,219.00 - $ 130,000.00)
Salary is dependent upon several factors including, but not limited to, a candidate's previous experience, knowledge, skills and performance in accordance with Clemson's compensation guidelines.
ESSENTIAL PERSONNEL LEVEL
Normal Operations
Required to follow emergency facility closure directives, and not normally expected work on-site during emergency situations.
JOB LOCATION:
Clemson, SC
APPLICATION DEADLINE:
November 26, 2024 @ 11:59 PM
MILITARY AND VETERAN:
MILITARY EQUIVALENCY:
Clemson University is proud to allow educational equivalency for military technical certifications and trainings that directly relate to the job duties.
VETERAN PREFERENCE:
South Carolina is making our Veterans a priority for employment in state agencies and institutions.
State policy for veteran preference states that for qualifying, full-time permanent positions, a veteran applicant may receive preference if they meet the job's minimum qualifications, were discharged under honorable conditions from the military, and submit their DD-214 for confidential review by the Office of Human Resources.
To claim Veteran Preference for qualifying positions, email hrjob@clemson.edu upon submission of your application.
CLOSING STATEMENT:
Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information.