Senior Analytics Engineer
Core
Senior Analytics Engineer building data pipelines, models, and dashboards for a university's entire ecosystem (academic, finance, HR, student life) using modern cloud lakehouse architecture.
Role type
Senior IC Analytics Engineer (Data Warehouse & Lakehouse)
Builds
Data pipelines, curated data layers, and reporting dashboards for academic, finance, HR, and student life units.
Domain
Higher Education / Data Engineering & Analytics
Required skills
SQL, Python, Cloud Data Platforms (AWS/Azure/GCP), Modern BI Tools, Data Pipeline Development, Data Modeling, Stakeholder Communication
Preferred skills
Workday (Prism/Reports), Higher Education Data Domains, Microsoft Fabric, AWS Lake Formation/Athena, Integration Platforms (SnapLogic/dbt/Airflow), LLMs/AI Agents, Data Governance
Technologies
AWS, Microsoft Fabric, Power BI, Workday, SnapLogic, Python, SQL, Redshift, Snowflake, Cognos
Responsibilities
Partner with stakeholders to gather requirements and advise on data architecture; Design and develop complex data pipelines and SQL queries; Build and tune curated data layers in cloud lakehouse environments; Coach customers through implementation and adoption; Modernize integration work from low-code to spec-driven Python development; Evaluate and retire legacy reporting systems.
Seniority
Senior, hands-on IC
