Related skills
analytics azure aws data engineering gcp📋 Description
- Partner with customers to solve data challenges with Databricks Data Intelligence Platform
- Progress through FE Launchpad to independently lead customer engagements
- Build demos and prototypes across data engineering, analytics, and AI/GenAI
- Collaborate with Account Executives and Architects to shape architectures
- Grow via certifications, bootcamps, and mentorship, and share learning with peers
🎯 Requirements
- 2 years in data engineering, software engineering, AI/ML, or related field
- STEM degree or equivalent; interest in modern data architectures and real-time analytics
- Strong ability to communicate with both technical and business audiences
- Ownership mindset; ability to build and iterate on demos, apps, or MVPs
- Foundational familiarity with AWS, Azure, or GCP
- Exposure to Databricks or cloud certifications
🎁 Benefits
- Comprehensive benefits and region-specific details
- FE Launchpad onboarding and cohort-based learning
- Global career development and learning opportunities
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