Senior Analytics Engineer

Role Overview

The Senior Analytics Engineer owns the analytics-ready layers of the University’s Databricks Lakehouse, transforming curated data into business-ready models and establishing the semantic layer that defines authoritative institutional metrics.

What You Will Do

Architect, build, and maintain Gold and Platinum layer data models in Databricks, establish and govern the semantic layer, lead the curation of datasets, and maintain and optimize Amazon Redshift reporting assets.

Why It Might Be a Fit

The ideal candidate will have 7-10 years of experience in data, business intelligence, or analytics disciplines, including experience developing, governing, and maintaining semantic or metric layers supporting enterprise reporting and analytics.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, or a related field
• Seven (7) to ten (10) years of experience in data, business intelligence, or analytics disciplines
• Five (5) or more years building and maintaining production data models and datasets consumed by business intelligence tools and business users in a cloud data warehouse or Lakehouse environment
• Experience developing, governing, and maintaining semantic or metric layers supporting enterprise reporting and analytics
• Experience with Databricks, SQL, Python, dimensional data modeling, and data governance practices
• Experience establishing modeling standards, conducting code review, and mentoring data professionals

Benefits

• Generous Time Off
• Comprehensive Health Coverage
• Insurance Options
• Flexible Spending Accounts
• Retirement Plans
• Supplemental Retirement Plans
• Tuition Remission