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Role OverviewDatabricks is a partner-first company. Our exponential growth is fueled by the success of our partner ecosystem. As the Partner Enablement Technical Lead, you will be a key architect of our global partner enablement strategy. You will design, build, and execute high-impact learning programs—ranging from technical readiness to advanced certifications—ensuring our partners can deliver Databricks projects 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 are 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- Design Technical Enablement Programs: Architect comprehensive enablement programs such as Advanced Technical Academies, Delivery Specializations, and technical onboarding to drive partner technical proficiency. In collaboration with Subject Matter Experts, you will define end-to-end learning paths, encompassing curriculum, assessments, and success metrics
- Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives.
- Technical Roadmap Leadership: Own the roadmap for technical programs, including large-scale learning events, global workshop schedules, and GTM strategies for enablement.
- Performance Accountability: Drive results for your partner portfolio, maintaining full ownership of key metrics such as training completion and certification targets.
- Data-Driven Insights: Monitor and analyze KPIs (Certification rates, ROI, and program impact) to continuously optimize enablement effectiveness.
- Quality Assurance & Coaching: Oversee the technical integrity of programs launched across the team. Evaluate and coach cross-functional training resources to ensure "best-in-class" delivery.
- Education: Bachelor’s degree in a technical discipline or equivalent practical experience.
- Experience: 7+ years of experience developing and scaling technical learning programs within a global enterprise tech ecosystem.
- Technical Depth: Deep understanding of Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI); ideally holds at least one industry certification in these areas.
- Consulting Background: Proven experience as part of a technical delivery team, successfully implementing Data & AI projects for external clients.
- Ecosystem Knowledge: Strong understanding of the System Integrator (SI) business model and how technical partners successfully go to market.
- Program Management: Proven track record of managing technical competency models and learning journeys for large, geographically dispersed teams.
- Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders.
- Strong background in the Generative AI landscape.
- Experience scaling technical enablement within "Hyperscaler" environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
