Position Details
About this role
Databricks RSA for manufacturing; lead data engineering and analytics projects on the Databricks platform in a professional services context, delivering end-to-end solutions and collaborating with clients and Databricks teams.
Key Responsibilities
- Deliver end-to-end Databricks-based projects; scope services with engagement managers; guide customers through data projects and migrations; provide architecture consulting; collaborate with engineering and support to deliver engagements
Technical Overview
Requires deep Spark expertise, Python/Scala proficiency, and cloud experience across AWS/Azure/GCP. Includes CI/CD and MLOps practices to build production-grade data architectures on Databricks.
Ideal Candidate
The ideal candidate is a senior RSA with 6+ years of data engineering and analytics experience, proficient in Python or Scala, and skilled with Apache Spark across cloud platforms. They deliver end-to-end Databricks-based projects in a professional services setting, possess strong client-facing and whiteboarding abilities, and can travel up to 30%.
Must-Have Skills
None listed
Required Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
6+ years experience in data engineering, proficient in Python or Scala, ability to travel up to 30%
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile