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Databricks is a partner-first company. Our exponential growth is fueled by the success of our partner ecosystem.
As the Scaled Partner Enablement Lead, you will be part of a visionary team that is architecting our partner enablement strategy. You will design, build, and execute high-impact learning programs spanning technical certifications, sales readiness, specialization, and onboarding programs to ensure our partners sell and deliver Databricks solutions with total confidence.
This role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You’re joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.
Key Responsibilities
- Strategic Alignment: Partner with the leadership, partner-facing teams, and partners themselves to identify critical needs and translate business requirements into high-impact enablement programs.
- Performance Accountability: Drive and own the results for your partner portfolio, maintaining full accountability for key metrics, including training completion and certification targets.
- Build Learning Programs: Collaborate with internal Subject Matter Experts (SMEs) to define best-in-class enablement programs and establish rigorous success measures.
- Roadmap Management: Lead the roadmap for training initiatives, including large-scale learning events, global workshop schedules, and the Go-to-Market strategy for partner enablement programs.
- Operational Excellence: Oversee the end-to-end program lifecycle from initial intake and resourcing to scheduling, logistics, and task management, ensuring seamless execution.
- Data-Driven Insights: Monitor and analyze KPIs such as Certification rates, ROI, and program impact.
- Quality Assurance: Evaluate, audit, and coach cross-functional training resources to ensure the delivery of "best-in-class" learning experiences.
Minimum Qualifications:
- Education: Bachelor’s degree in a technical discipline or equivalent practical experience.
- Experience: 6+ years of experience developing and running large-scale training and certification programs within a global tech ecosystem.
- Ecosystem Knowledge: Strong understanding of the System Integrator business model and how technical partners successfully go to market.
- Technical knowledge: Deep understanding of Data AI technologies, including topics as Data Warehouse, Data Transformation, Machine Learning, and Generative AI, ideally having been certified in at least one of these technologies.
- Program Management: Proven track record of managing technical competency models and learning journeys for geographically dispersed teams.
- Communication: Exceptional verbal and written communication skills with the ability to influence cross-functional stakeholders.
Other desired Qualifications:
- Experience specifically within the Data + AI or Cloud Infrastructure space.
- Familiarity with scaling programs within the Cloud hypercallers such as Google, Microsoft, and AWS, or similar cloud partner ecosystems.
- Proficiency in data visualization tools to report on program ROI.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.