Strategic Partner Enablement Lead, Databricks & Snowflake

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Strategic Partner Enablement Lead, Databricks & Snowflake based in United States.

This role will lead the development of foundational enablement programs across two high-impact modern data platform ecosystems.
You will build partner strategies, learning frameworks, engagement models, and champion programs from the ground up in an evolving environment.
The position sits at the intersection of strategic partnerships, data platforms, AI, analytics, learning innovation, and ecosystem growth.
You will engage technical and business audiences spanning data engineering, analytics, machine learning, AI, architecture, and leadership.
Success will depend on your ability to translate complex technologies and customer use cases into practical, scalable learning experiences.
You will collaborate closely with alliance leaders, technical communities, sales, solutions architecture, product, customer success, and partner executives.
This is an ideal opportunity for a strategic builder who thrives in ambiguity and wants to shape how partners adopt and champion modern data technologies.

Accountabilities

• Serve as the primary enablement lead for the Databricks and Snowflake strategic partnerships, establishing foundational strategies, governance processes, stakeholder relationships, and operating rhythms.
• Develop the long-term enablement vision for both partnerships and align learning initiatives with partnership growth and ecosystem adoption objectives.
• Identify and prioritize audiences across data engineering, analytics, machine learning, AI, architecture, technical leadership, sales, customer success, and business functions.
• Build trusted relationships with alliance leaders, partner executives, technical communities, enablement teams, and internal stakeholders.
• Create scalable, role-based learning pathways for data engineers, analytics engineers, data scientists, machine learning practitioners, architects, technical leaders, and business stakeholders.
• Develop foundational workshops, technical bootcamps, champion programs, and repeatable learning frameworks supporting lakehouse, data platform, analytics, and AI use cases.
• Translate customer use cases and complex technical concepts into practical, accessible enablement content and learning experiences for technical and business audiences.
• Establish repeatable partner engagement motions that can scale as the partnerships and surrounding ecosystems grow.
• Build partner readiness programs and develop champion networks and internal advocates to increase adoption and engagement.
• Coordinate with sales, solutions architecture, product, customer success, alliances, and other cross-functional teams to ensure enablement activities support broader business objectives.
• Gather partner feedback, monitor participation and readiness indicators, and continuously refine learning strategies based on engagement, feedback, and business impact.
• Establish long-term community engagement strategies that strengthen partner relationships and encourage sustained participation.
• Track program effectiveness through metrics such as training attendance, workshop participation, certifications, badges, engagement, reach, and readiness improvements.
• Provide internal leadership with visibility into partner priorities, enablement performance, ecosystem needs, and opportunities for improvement.
• Contribute to stronger strategic partnerships, increased partner-led customer engagement, and partner-influenced business growth.

Requirements

• 8+ years of experience in partner success, strategic partnerships, partner enablement, customer success, learning and development, consulting, or a related enterprise technology field.
• Demonstrated experience building new programs, functions, or strategic initiatives in environments where processes and playbooks were not yet established.
• Direct experience with data platforms, lakehouse technologies, analytics ecosystems, or data-native partnerships such as Databricks, Snowflake, or comparable platforms is strongly preferred.
• Proven ability to establish net-new partner programs and create structure, processes, and operating models from the ground up.
• Experience managing multiple concurrent early-stage strategic partnerships while maintaining momentum and stakeholder alignment across each relationship.
• Experience designing and delivering enablement or learning programs for external partners, customer-facing teams, or enterprise technology audiences.
• Strong understanding of modern data architectures, lakehouse platforms, analytics workflows, AI ecosystems, enterprise software, and cloud technologies.
• Ability to quickly learn complex technical products and translate technical concepts into relevant, accessible learning experiences.
• Proven experience influencing technical and business audiences without direct authority.
• Strong stakeholder engagement, relationship management, consulting, facilitation, presentation, and communication skills.
• Demonstrated ability to collaborate effectively with sales, solutions architecture, product, customer success, alliances, and other cross-functional teams.
• Strong program management skills, including the ability to manage competing priorities, multiple stakeholder groups, and complex initiatives.
• Data-driven mindset with the ability to define and measure readiness, engagement, participation, and overall program effectiveness.
• Strong strategic thinking and the ability to connect enablement initiatives with partnership objectives and measurable business outcomes.
• Self-directed, adaptable, and comfortable operating in ambiguous, fast-changing environments.
• Ability to travel and meet the physical requirements associated with the role, including regular sitting, standing, walking, driving, and occasional lifting of items up to 10 lbs.

Benefits

• Annual salary range of $150,000–$165,000 USD .
• Bi-weekly pay and early wage access.
• Health and wellness benefit plans.
• Paid time off and holidays.
• 401(k) with employer matching.
• Employee discounts.
• Referral bonus opportunities.
• Flexible spending accounts for healthcare, dependent care, parking, and transportation expenses.
• Opportunities to work with a growing organization that actively rewards and promotes employees.
• Opportunity to shape new partner enablement programs and influence strategic ecosystem growth.
• Exposure to leading data, analytics, AI, and cloud technology ecosystems.
• Equal opportunity workplace with a commitment to inclusive employment practices.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.