YOUR NEXT CHAPTER
Certified Databricks Instructor
About the role
• Deliver instructor-led Databricks training programs, workshops, and technical enablement sessions
• Facilitate theoretical and hands-on learning across relevant Databricks technologies
• Guide participants through labs, exercises, demonstrations, and real-world use cases
• Explain complex data engineering, analytics, AI, and lakehouse concepts clearly
• Prepare and maintain training environments, materials, exercises, and supporting documentation
• Adapt delivery based on participants' technical backgrounds and learning needs
• Evaluate participant progress and provide constructive technical feedback
• Stay current with Databricks platform developments, certifications, and recommended practices
• Support internal and client enablement initiatives
• Maintain high standards of training delivery and learner experience
• Active relevant Databricks certification(s)
• Strong hands-on experience with the Databricks platform
• Experience delivering technical training, workshops, or enablement sessions
• Strong understanding of data engineering, analytics, lakehouse, or related data concepts
• Excellent presentation, facilitation, and communication skills
• Ability to explain complex technical concepts to audiences with different experience levels
• Strong English communication skills
• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field
• Databricks instructor accreditation or previous experience delivering official Databricks training (preferred)
• Multiple Databricks certifications (preferred)
• Experience with Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog (preferred)
• Knowledge of cloud platforms such as Azure, AWS, or GCP (preferred)
• Experience training enterprise clients (preferred)
• English proficiency and Arabic is a plus
• Experience within consulting, professional services, or technology training environments (preferred)
• Equal opportunity employer
• Interview recording is used only internally for evaluation
• Candidates may opt out of interview recording without impact on candidacy