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Strong employer brand, metro location, generalist senior data role with broad toolset increases competition.
Core data engineering skills are transferable, though academic governance and Alteryx knowledge slightly limit portability.
Specific technical skills, governance experience, and tooling expectations imply moderate screening rigor.
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Own the production and management of clean, accurate, and timely datasets supporting Academic division analytics and automation.
Lead the development, certification, and governance of data workflows across multiple core Academic data sources using SQL, Python, R, and ETL processes.
Manage Alteryx Server environment and collaborate cross-functionally to align data solutions with business requirements and enterprise data architecture.
Proficiency in SQL and programming languages such as Python and R is mandatory.
Experience required in developing and maintaining complex data structures and performing data modelling and transformation.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with Git-based workflows for managing data pipelines, infrastructure, and transformation logic.
Experienced in solving complex data challenges and working across diverse internal stakeholders including analysts, engineers, and business teams.
Skilled in data governance, quality assurance, and documentation to ensure certified and governed data workflows.
Able to manage multiple projects and priorities effectively, supporting strategic data initiatives and process improvements in a data-intensive environment.