Senior Analytics Engineer
Core
Architect, build, and maintain Gold and Platinum layer data models in Databricks, establishing the semantic layer and governing authoritative institutional metrics for a university.
Role type
Senior Analytics Engineer (Data Modeling & Semantic Layer)
Builds
Production data models, semantic metric views, and AI-enabled analytics dashboards for university stakeholders.
Domain
Higher Education / Data Engineering & Analytics
Deliverable
production ML models | product features
Required skills
Advanced SQL, Python (PySpark/pandas), Databricks (Delta Lake, Unity Catalog), Dimensional Data Modeling, Data Governance, Tableau, Amazon Redshift
Preferred skills
Databricks metric views, AI Genie Agents, dbt, Legacy warehouse migration, PeopleSoft/Salesforce experience
Technologies
Databricks, Delta Lake, Unity Catalog, Amazon Redshift, Tableau, PySpark, pandas, Git
Responsibilities
Architect and optimize Gold/Platinum layer data models; Govern semantic layer and metric definitions; Lead dataset curation for AI/BI agents; Administer data quality and lineage via Unity Catalog; Migrate legacy Redshift assets to Databricks; Mentor analytics staff and conduct code reviews.
Seniority
Senior, hands-on IC with leadership responsibilities
