What are the responsibilities and job description for the Senior Databricks position at C4 Technical Services?
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
Salary : $70