Senior Databricks Data Engineer

Job Summary

To support the development of large-scale data platforms, the full-time Senior Databricks Data Engineer will implement a program-agnostic digital thread schema in Databricks, build Silver-to-Gold transformations, and publish governed data products while working remotely within the United States.

Key responsibilities

• Implement the digital thread schema and map traceability relationships across various systems
• Build Silver-to-Gold transformations in Databricks and ensure data quality standards are met
• Collaborate with source system SMEs to document data models and business rules for handoff

Required qualifications

• 6+ years of experience in data engineering with a focus on Databricks or comparable lakehouse environments
• Strong data modeling skills, particularly with relationship-heavy or graph-like models
• Experience with PLM and MBSE concepts, including parts, BOMs, and requirements traceability
• Proficiency in PySpark and SQL, along with experience in Delta Lake and medallion architecture
• Hands-on experience with data from Teamcenter, Cameo, or Siemens Capital