Data & AI Enablement Architect
- Hiring from
- Germany
- Work type
- Remote
- Posted
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Role overview
The Data & AI Enablement Architect is a technical enablement role focused on supporting partners and local sales teams with practical guidance around Microsoft Fabric, Azure AI, analytics, and data modernization scenarios. The role helps scale readiness across regions by delivering enablement, supporting opportunity qualification, and helping partners understand how to position Data & AI solutions.
Your role
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Deliver technical enablement sessions and workshops for partners and local teams
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Support regional teams in positioning Microsoft Fabric, Azure AI, and Data & AI solution scenarios
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Assist partners with early-stage solution design, technical discovery, and opportunity qualification
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Create and localize enablement content, demo material, technical guidance, and follow-up notes
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Support regional campaigns, readiness initiatives, and partner activation motions
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Collect partner feedback, technical blockers, and market needs and share them with CoE solution leads
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Support handover to development, deployment, or senior architecture resources when opportunities mature
Your profile
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Technical lead or developing architect with good Data & AI knowledge and strong communication skills
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Comfortable delivering workshops and explaining solution scenarios to partners and sales teams
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Practical mindset with ability to support demos, discovery, and early project shaping
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Structured, proactive, and able to work across multiple partner and country stakeholders
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Experience in partner enablement or presales is preferred
Certification requirements
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Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or equivalent practical experience
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Azure Fundamentals, Azure Administrator Associate, or Fabric Data Engineer Associate (DP-700) as a plus
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Applied Skills for AI, analytics, Fabric, Copilot Studio, or data modernization scenarios
Why join us?
This role helps ALSO scale Data & AI readiness in the field by making Microsoft Fabric and Azure AI practical, understandable, and actionable for partners.
