Senior Databricks

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

• We are 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:

• Databricks
• Delta Lake
• PySpark
• SQL
• Data Modeling
• Medallion Architecture
• Lakehouse Architecture
• Silver & Gold Layer Development
• Semantic Modeling
• Analytics Engineering
• Data Warehousing
• PowerBI

Nice to have Skills:

• Databricks Apps
• Unity Catalog
• dbt
• Microsoft Fabric
• Power BI Semantic Models
• Unstructured Data Ingestion
• AI / GenAI Data Preparation
• Vector Databases
• Azure AI Services
• RAG Framework Exposure
• Python
• Azure Data Factory

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
• Senior Data Engineer
• Lakehouse Engineer
• Analytics Engineer
• Databricks Consultant
• Databricks Data Architect (hands-on)
• Data Platform Engineer
• Azure Databricks Engineer
• Data Warehouse Engineer with Lakehouse experience