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# Databricks Architect

- **Company:** Mitchell Martin
- **Location:** Princeton, NJ, United States
- **Experience:** Experienced
- **Salary:** $83,200 - $104,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Configuration Management, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Dataspaces, Data Systems, Python (Programming Language), Query Optimization, Azure Machine Learning, SQL Databases, Management of Software Versions, Data Management, Software Version Control, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/databricks-architect-princeton-nj--fc9ef9b2-3332-4edd-ac7a-2e5f0cbd8f49

## About the Role

Data Management, Architectural Design, Metrics, Publications, Data Modeling, Communication Skills, SQL (Structured Query Language), Query Optimization, Source Code/Configuration Management (SCM), Continuous Integration, This role involves designing and building data solutions using a leading data platform. Located in Princeton, NJ, this contract position requires hands-on experience in data architecture and engineering, with a focus on creating self-service data environments. Candidates should have experience with data governance and AI technologies., * 10 to 12 years in data engineering and architecture, with 3+ years in a hands-on architectural role.

 * 3+ years of experience with a leading data platform in production environments.
 * Experience in building semantic or metrics layers used by multiple teams.
 * Proficiency in SQL, Python, and data modeling techniques.
 * Strong communication skills for explaining technical concepts to non-technical stakeholders.

## Description

* Lead the architecture for self-service data solutions, ensuring end-to-end data governance.
 * Design a federated data architecture with shared definitions and local data management.
 * Define semantic layers, common keys, and business rules for data consistency.
 * Ensure seamless data integration and metric view publication without data duplication.
 * Set governance models for data changes, including ownership and versioning.
 * Communicate design choices effectively to business and technology leaders.
 * Guide a team of engineers in implementing data solutions., * Build and manage data views and SQL functions for business rules.
 * Configure data spaces and agents for optimized data query routing.
 * Implement data federation and sharing solutions to ensure data stays in place.
 * Maintain data configurations in version control systems with CI/CD practices.
 * Evaluate data accuracy using machine learning tools.