Jobs → Data & Analytics → Databricks Partner Champion

Databricks Partner Champion

Mohd ShahrukhUnited StatesSENIORPosted 5h ago
DatabricksLakehouse ArchitectureApache SparkDelta LakeUnity CatalogData EngineeringData ArchitectureMachine LearningGenerative AIAnalytics EngineeringCloud Data PlatformsEnterprise Data Platform ModernizationAI/ML workloadsEnterprise-scale data solutions
About the Role We are looking for an established Databricks Partner Champion to lead and strengthen our Databricks capabilities across strategic customer engagements, technical delivery, and the Data & AI practice. This is a senior technical leadership opportunity for an individual who has already achieved official Databricks Partner Champion status and has a proven track record of technical excellence, customer impact, community contribution, and ecosystem engagement. Key Responsibilities • Act as the senior Databricks technical authority • Define Databricks architecture standards, best practices, and delivery frameworks • Lead and expand the Databricks Centre of Excellence (CoE) • Support strategic sales pursuits and executive-level customer engagements • Provide technical and architectural guidance for complex Databricks implementations • Drive Lakehouse adoption, platform modernization, and AI initiatives • Mentor and develop future Databricks Partner Champion candidates • Build relationships with Databricks Partner Alliance, Account, and Field teams • Contribute to technical blogs, accelerators, workshops, and community initiatives Requirements • Active Databricks Partner Champion status • Successfully completed the Databricks Partner Champion panel process • Proven experience in Databricks customer delivery and implementation • Demonstrable contribution to Databricks Centres of Excellence and community initiatives • Strong relationships within the Databricks partner ecosystem • Experience mentoring and developing technical teams • Databricks Lakehouse Architecture • Apache Spark and Delta Lake • Unity Catalog • Data Engineering and Data Architecture • Machine Learning and Generative AI • Analytics Engineering • Cloud Data Platforms • Enterprise Data Platform Modernization • AI/ML workloads and enterprise-scale data solutions

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