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    <job>
      <externalid>e4ad40eb-311</externalid>
      <Title>Partner Enablement Technical Lead</Title>
      <Description><![CDATA[<p>Databricks 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.</p>
<p>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.</p>
<p><strong>Key Responsibilities:</strong></p>
<ul>
<li>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</li>
</ul>
<ul>
<li>Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives.</li>
</ul>
<ul>
<li>Technical Roadmap Leadership: Own the roadmap for technical programs, including large-scale learning events, global workshop schedules, and GTM strategies for enablement.</li>
</ul>
<ul>
<li>Performance Accountability: Drive results for your partner portfolio, maintaining full ownership of key metrics such as training completion and certification targets.</li>
</ul>
<ul>
<li>Data-Driven Insights: Monitor and analyze KPIs (Certification rates, ROI, and program impact) to continuously optimize enablement effectiveness.</li>
</ul>
<ul>
<li>Quality Assurance &amp; Coaching: Oversee the technical integrity of programs launched across the team. Evaluate and coach cross-functional training resources to ensure &#39;best-in-class&#39; delivery.</li>
</ul>
<p><strong>Minimum Qualifications:</strong></p>
<ul>
<li>Education: Bachelor&#39;s degree in a technical discipline or equivalent practical experience.</li>
</ul>
<ul>
<li>Experience: 7+ years of experience developing and scaling technical learning programs within a global enterprise tech ecosystem.</li>
</ul>
<ul>
<li>Technical Depth: Deep understanding of Data &amp; AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI); ideally holds at least one industry certification in these areas.</li>
</ul>
<ul>
<li>Consulting Background: Proven experience as part of a technical delivery team, successfully implementing Data &amp; AI projects for external clients.</li>
</ul>
<ul>
<li>Ecosystem Knowledge: Strong understanding of the System Integrator (SI) business model and how technical partners successfully go to market.</li>
</ul>
<ul>
<li>Program Management: Proven track record of managing technical competency models and learning journeys for large, geographically dispersed teams.</li>
</ul>
<ul>
<li>Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders.</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Strong background in the Generative AI landscape.</li>
</ul>
<ul>
<li>Experience scaling technical enablement within &#39;Hyperscaler&#39; environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$154,300-$212,200 USD</Salaryrange>
      <Skills>Data &amp; AI technologies, Data Warehousing, Data Transformation, ML, Generative AI, Program Management, Technical Competency Models, Learning Journeys, Cross-Functional Stakeholders, Generative AI landscape, Hyperscaler environments, Cloud partner ecosystems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a unified platform for data, analytics, and AI. It was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8435968002</Applyto>
      <Location>United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
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