Customer Enablement Architect (Capability Engineering & AI Adoption)Posted today
The opportunity
The Databricks Customer Enablement team is on a mission to upskill data and AI professionals in customer organizations so they can use Databricks effectively and accelerate customer success.
What you'll do
Work with regional Go-to-Market teams to create enablement strategies aligned: to customer segment, business priorities, technical maturity, and talent-transformation goals.
Translate customer outcomes into practical learning plans, capability: roadmaps, and recommendations across free and paid training, instructor-led and self-paced learning, credentials, and partner delivery.
Partner with global Delivery and Operations teams to coordinate scheduling,: communications, program quality, and seamless execution of customer development plans.
Manage and report weekly, monthly, and quarterly performance across training: bookings, revenue, learners, credentials, and adoption; use insights to guide action from field teams.
Serve as the voice of the customer for regional enablement, curriculum, and: certification priorities, while engaging senior leaders and executives internally and externally.
Identify capability gaps that may affect platform adoption and work with: account teams on targeted interventions, including contextual or just-in-time enablement where it improves customer outcomes.
What they're looking for
- Lakehouse architecture, data engineering, ETL, data governance, and data quality
- Databricks training, certifications, and foundational onboarding experiences
- Generative AI, agentic workflows, Databricks Apps, Genie, and Lakeflow
- Translating technical adoption needs into accessible enablement and talent-transformation programs
