Director of Data Engineering Position Available In Charleston, South Carolina

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Company:
College of Charleston
Salary:
JobFull-timeOnsite

Job Description

Director of Data Engineering•Posting DetailsPOSTING INFORMATIONInternal TitleDirector of Data Engineering•Position TypeClassifiedFaculty / Non-Faculty / AdministrationNon-FacultyPay Band7Level5DepartmentOffice of Enrollment InformationJob PurposeThe Director of Data Engineering serves as the strategic and technical lead for data architecture and pipeline development within the College of Charleston’s Division of Enrollment Planning. This role is responsible for designing, implementing, and maintaining scalable, automated, and standardized data workflows that improve the accuracy, efficiency, and accessibility of undergraduate enrollment data. Key responsibilities include developing robust data pipelines, orchestrating complex workflows, managing cross-functional data projects, and producing clear, comprehensive process documentation. The Director works collaboratively across multiple offices within the Division of Enrollment Planning and partner offices across campus to ensure alignment with institutional data governance standards and technology infrastructure. This position plays a critical role in enabling data-informed decision-making by ensuring that high-quality data is readily available to stakeholders across the institution.

Minimum RequirementsA bachelor’s degree in computer science, information systems, or a related field, along with relevant experience in one or more of the following areas: systems development and maintenance, technical support, complex database management, computer programming, software application development, workflow automation, project management, and/or systems analysis. Experience working in a higher education environment is preferred. Candidates with an equivalent combination of education and professional experience are encouraged to apply.

Required Knowledge, Skills and AbilitiesRequiredStrong understanding of relational database architecture, data warehousing, data engineering principles, system integrations, and cloud/web applicationsExperience designing and developing data workflows using middleware platforms such as Informatica or Axiom EliteFamiliarity with project management concepts and agile methodologiesProficiency in one or more programming languagesSkilled in Microsoft 365 tools, including Teams, SharePoint, Excel, PowerPoint, Copilot, and Power AutomateAptitude for effectively leveraging generative AI platforms to streamline tasks, enhance analysis, and support productivityExceptional analytical and problem-solving skills with a passion for logic developmentHigh attention to detail and a strong commitment to data accuracy, integrity, and securityAbility to identify and implement opportunities for improving data and business process eff

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