As a Senior Technical Instructor on the Partner Technical Enablement team, reporting to the director of User Success, you will provide virtual technical, hands-on training to Databricks' Consulting and Systems Integration partners.
Once travel and in person events resume you will also conduct trainings in person. You will join a team that is global, high profile, and high impact.
We train the data architects, data scientists, solution architects, and data engineers at consulting firms ranging from the largest global systems integrators to national and regional firms.
We are looking for experienced Instructors with backgrounds in Big Data including Data Engineering, Analytics, Cloud and Machine Learning who have the desire to continue learning as part of a collaborative team.
The impact you will have :
Deliver hands-on training in person to big data practitioners (engineers, data scientists, analysts, architects). Travel will be regional with occasional global travel once safe to resume.
Provide feedback to the curriculum development team to help them build new content and revise existing content including technical curriculum, lab exercises, presentations, and certifications.
Work in collaboration with partner teams across Databricks to maintain quality partner relationships.
Mentor and onboard fellow instructors on new courses and help them gain proficiency in new domains.
What we look for :
Classroom skills for teaching to audiences with varying technical backgrounds and disciplines
Knowledge of at least one of the following public cloud's stack - AWS, Azure or GCP
Experience with big data technologies such as NoSQL, SQL Databases, Data Warehousing, ETL, streaming and machine learning
Proficiency in Python or Scala
Learn and teach new product features and updates
Travel up to 2 / 3rds of the time. Travel will be regional with occasional global.
French language skills beneficial
Private medical insurance and pension
Employee's Provident Fund
Annual personal development fund
Business travel insurance
Paid Parental Leave