Senior Databricks Analytics Engineer
Contract-(3-6 months)
Hybrid - Chanhassen, MN (Local Preferred)

Role Overview:

Client is seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up.
This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets.
The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.

Top Skills:

Nice to have Skills:

Job Description:

Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
Design and implement business-facing data models and semantic layers.
Create analytics-ready datasets optimized for reporting and self-service BI.
Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
Support ingestion and processing of structured and unstructured data sources.
Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
Establish data quality, validation, and governance best practices.
Contribute to Databricks Apps and analytics platform capabilities.
Help define scalable architecture patterns and development standards.
Support AI and GenAI initiatives through data preparation and ingestion pipelines.

Ideal Candidate Profile:

Senior Databricks Analytics Engineer

Quick Overview