Senior Analytics Engineer: Unity Catalog & Semantic Layer

United States Digital Space LLC; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

401K with employer matching

Paid time off

Hybrid/Remote options

Job summary

PANTHERx Rare Pharmacy is seeking a Senior Analytics Engineer to design and build the governed semantic layer on Databricks, creating canonical metric views and reusable data products. You will own metric definitions, enforce governance, and enable DirectLake dashboards, external feeds, and AI model inputs.

You will mentor Analytics Engineers, partner with Data Governance, QA, and Informatics to ensure accuracy, versioning, and documentation while driving scalable analytics practices across the

Qualifications

• 6+ years of analytics engineering or data engineering with production ownership of a semantic or metrics layer serving multiple downstream consumers.
• Deep hands-on Databricks production experience: Unity Catalog, Delta Lake, medallion architecture, Gold-layer design.
• Proven ability to establish canonical metric definitions reused by BI, analytics, and external consumers.
• Advanced SQL and strong PySpark and Python to design, build, and optimize complex promotion logic and metric definitions.

Responsibilities

• Designs and builds Unity Catalog metric views as canonical, versioned definitions of business metrics.
• Designs Gold-layer tables and Silver-to-Gold promotion logic with Data Engineering.
• Migrates legacy consumption logic into governed metric views with validated parity.
• Builds reusable data products in Unity Catalog with owner and lineage metadata.
• Mentors Analytics Engineers and collaborates with Stakeholders to converge on precise metric definitions.

Skills

Databricks

SQL

PySpark

Python

Data modeling

Education

Bachelor’s degree in CS/related field

Tools

Unity Catalog

Delta Lake

Power BI DirectLake

Atlan/Collibra

Job description

PANTHERx Rare Pharmacy is seeking a Senior Analytics Engineer to design and build the governed semantic layer on Databricks, creating canonical metric views and reusable data products. You will own metric definitions, enforce governance, and enable DirectLake dashboards, external feeds, and AI model inputs.

You will mentor Analytics Engineers, partner with Data Governance, QA, and Informatics to ensure accuracy, versioning, and documentation while driving scalable analytics practices across the