Position Details
About this role
Databricks RSA for manufacturing sector to execute data engineering and analytics projects on the Databricks platform, collaborating with clients, engagement managers, and Databricks teams to scope and deliver end-to-end solutions.
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
Technical Overview
Requires deep Apache 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%
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