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.
Clemsons Workday platform will integrate and streamline key University functions with an enterprise-wide solution that supports Clemsons 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.
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:
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
WORKING CONDITIONS:
No Work Conditions
WORK SCHEDULE:
Standard Hrs: 37.5
JOB LOCATION:
Clemson, SC
APPLICATION DEADLINE:
November 26, 2024 @ 11:59 PM
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.
