Senior Analytics Engineer - Lakehouse & Semantic Layer Lead

University of Maryland Global Campus; Adelphi (MD); On-site; USD 142,000 - 152,000; Full time

Benefits offered by this job

Tuition remission

Generous time off

Comprehensive health coverage

Retirement plans

Job summary

University of Maryland Global Campus seeks a Senior Analytics Engineer responsible for the analytics-ready layers of the Databricks Lakehouse. You will transform curated data into business-ready models, define authoritative metrics, and establish a semantic layer that governs institutional metrics.

You will lead technical standards, collaborate with stakeholders, and guide AI/BI analytics, reporting, and natural language query capabilities while mentoring analytics staff.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, or related field.
• Seven to ten years in data/BI/analytics with production data models and cloud data warehouses.
• Experience with Databricks, SQL, Python, dimensional modeling, and data governance.

Responsibilities

• Architect, build, and maintain Gold and Platinum data models in Databricks with clear design patterns and performance optimization.
• Govern semantic layer using Databricks metric views and manage definitions with stakeholders.
• Lead data curation for datasets, metric views, and SQL examples supporting AI Genie Agents and dashboards.

Skills

Advanced SQL

Python (PySpark)

Databricks

Semantic layer design

Dimensional data modeling

Amazon Redshift

Tableau development

Git version control

NL analytics / AI-enabled data

Education

Bachelor's degree

Master's degree

Tools

Databricks Delta Lake

Databricks SQL

Unity Catalog

dbt or transformation framework

Job description

University of Maryland Global Campus seeks a Senior Analytics Engineer responsible for the analytics-ready layers of the Databricks Lakehouse. You will transform curated data into business-ready models, define authoritative metrics, and establish a semantic layer that governs institutional metrics.

You will lead technical standards, collaborate with stakeholders, and guide AI/BI analytics, reporting, and natural language query capabilities while mentoring analytics staff.