Strategic Partner Enablement Lead, Databricks & Snowflake

๐Ÿข Channel Partners ยท all Channel Partners jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 150,000 - 165,000 / annual
๐Ÿ“… Posted 2026-08-03 ยท via Himalayas
๐Ÿท Partner-Enablement,Strategic-Partnerships,Data-Platform-Partnerships,Ecosystem-Enablement,Partner-Success,Partner-Enablement-Director,Partner-Enablement-Manager,Databricks-Practice-Lead,Enterprise-AI-Enablement-Lead,Data-Partnerships-Manager,AI-Partnerships-Lead
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At A Glance
We're seeking a Strategic Partner Enablement Lead to spearhead the launch of innovative enablement programs across the Databricks and Snowflake partner ecosystems. This high-impact role sits at the crossroads of strategic partnerships, learning innovation, AI adoption, modern data platforms, and ecosystem growth.
Unlike mature partner programs, this role will establish foundational enablement strategies, stakeholder relationships, audience segmentation, learning pathways, and success frameworks for a growing data ecosystem portfolio. The ideal candidate thrives in ambiguity, enjoys building new programs from scratch, and understands how data engineers, analytics teams, AI practitioners, and technical decision-makers learn and adopt new technologies. Key objectives include:

- Establish foundational partner enablement programs for Databricks and Snowflake.

- Create scalable learning pathways for technical and business partner audiences.

- Build strong internal and external stakeholder alignment.

- Launch repeatable partner engagement frameworks and champion programs.

- Create measurable readiness improvements across data platform partner communities.

Minimum Pay
USD $150,000.00/Yr. Maximum Pay
USD $165,000.00/Yr. What We Offer

- Bi-weekly pay and early wage access - get paid when you need it!

- Health and wellness benefits plans

- Paid time off and holidays

- 401(k) with employer matching

- Employee discounts

- Referral bonus

- Tax savings with flexible spending accounts for parking, transit, dependents, and healthcare costs

- Opportunity to work with a growing company that actively rewards and promotes its employees

What You'll Do

- Serve as the primary enablement lead for Databricks and Snowflake partnerships.

- Establish foundational enablement strategies, stakeholder relationships, governance processes, and operating rhythms.

- Identify priority audiences across data engineering, analytics, machine learning, AI, and technical leadership functions.

- Build trusted relationships with alliance leaders, technical communities, enablement teams, and partner executives.

- Shape the long-term enablement vision for both partnerships.

- Build the foundational enablement framework for Databricks and Snowflake partnerships.

- Design role-based programs for data engineers, analytics engineers, data scientists, machine learning practitioners, and technical leaders.

- Develop scalable enablement programs supporting lakehouse, data platform, AI, and analytics use cases.

- Create role-based learning pathways for data engineers, analytics engineers, architects, machine learning practitioners, and business stakeholders.

- Develop foundational workshops, technical bootcamps, champion programs, and scalable learning frameworks.

- Translate customer use cases involving AI, analytics, data platforms, and lakehouse architectures into practical enablement content.

- Establish repeatable enablement motions that can scale alongside growing partnerships.

- Build readiness programs from the ground up.

- Develop partner champions and internal advocates.

- Align enablement activities to partnership growth objectives and ecosystem adoption goals.

- Gather partner feedback and continuously refine learning strategies.

- Establish partner champion networks and long-term community engagement strategies.

- Continuously improve learning experiences based on participation, partner feedback, observed readiness, and strategic business impact.

What You'll Bring
Experience and Education:

- Experience building new programs, functions, or strategic initiatives in environments where processes and playbooks were still being created.

- Direct experience with data platform, lakehouse, or analytics ecosystem partnerships (e.g., Databricks, Snowflake, or comparable data-native platforms) strongly preferred.

- Comfort with ambiguity and a track record of standing up net-new partner programs without an existing framework

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