Related skills
azure aws data engineering gcp databricksπ Description
- Help customers realize value of the Databricks Platform with account teams.
- Advance through FE Launchpad from learning to leading customer engagements.
- Build demos and prototypes across data engineering, analytics, and AI/GenAI.
- Partner with Account Executives and cross-functional teams to shape architectures.
- Grow through certifications, bootcamps, and mentorship; share learnings with your cohort and FE community.
π― Requirements
- Early-career professionals with ~2 years in data eng, software eng, AI/ML, or related roles.
- Strong STEM foundation and curiosity about modern data architectures, AI, real-time analytics.
- Interest in working with customers; running discovery; explaining concepts clearly to technical and business audiences.
- Clear communication, collaboration, and a growth mindset for cohort-based learning.
- Ownership mindset; take initiative, build, and iterate on demos/apps/MVPs.
- Foundational familiarity with AWS, Azure, or GCP.
- Exposure to Databricks or cloud certifications.
π Benefits
- Benefits details at https://www.mybenefitsnow.com/databricks
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!