Staff Technical Instructor

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead instructor-led training across the Databricks catalog, partner on course development, mentor instructors globally, use learner data to improve outcomes, advise delivery leadership, and build AI-based tools for training delivery.

Requirements

  • Deep expertise in Data Engineering, Data Analysis, Machine Learning or Generative AI
  • Most Databricks certifications at associate and professional levels
  • Hands-on proficiency with Databricks workspace, Databricks SQL, Lakeflow Declarative Pipelines, Lakeflow Jobs, Git folders and Unity Catalog
  • Track record of influencing training products and processes
  • Experience mentoring and coaching
  • Comfort advising senior stakeholders
  • Hands-on experience using AI for course preparation or delivery operations
  • Preferred: ~8+ years in technical instruction, solutions architecture, data engineering or data science

Responsibilities

  • Lead associate- and professional-level instructor-led training, virtual and in person
  • Partner with curriculum teams on new course development and revamps
  • Mentor Databricks Certified Instructors and training partner instructors
  • Use CSAT, NPS and skill-progression data to improve learner outcomes and operations
  • Advise delivery leadership and account-facing teams on training plans and trends
  • Build AI-based tools for training delivery readiness