Website Microsoft

Cloud Solution Architecture – Data & AI Digital Transformation (Microsoft)

Opportunity Overview

Attribute Details
Organisation Microsoft (SME&C Channel Partner Sales / Global Partner Sales)
Job Number & Date Job ID: 200043289
Role Title Cloud Solution Architect (CSA) – Data & AI Digital Transformation
Profession & Discipline Customer Success / Cloud Solution Architecture (Individual Contributor)
Work Model & Travel Hybrid (2 days/week in-office)
Employment Type Full-Time
Primary Core Focus Partner Enablement, Azure Data & AI Platform Adoption, MCEM Win Formula Execution

Role Scope & Solution Architecture

The Partner Cloud Solution Architect (CSA) acts as the Subject Matter Expert (SME) to partners’ technical forces, owning the technical strategy and enablement framework across the Azure Data & AI ecosystem:

[Partner Strategy & Envisioning] ➔ [Architecture Design & Proof of Concept] ➔ [Azure Data/AI Platform Activation] ➔ [Scalable Cloud Consumption]

Core Responsibilities

  • Solution Development & Activation: Lead the co-development and architectural activation of partner IP, SaaS, and AI offerings on Microsoft Azure.

  • Technical Innovation Workshops: Conduct technical briefings, envisioning sessions, and hackathons to drive partner adoption of Microsoft Fabric, Azure OpenAI, and Generative AI frameworks.

  • Architectural Oversight & MVP Execution: Guide strategic partners through Architectural Design Sessions (ADS), Proofs of Concept (PoCs), and Minimum Viable Product (MVP) builds adhering to Microsoft Cloud Security and Governance frameworks.

  • Transformational Deal Enablement: Unblock architectural and technical hurdles in complex co-sell pipelines, ensuring rapid deployment and Azure workload consumption.

  • Executive & CXO Stakeholder Engagement: Build long-term technical relationships with partner CTOs, Chief Data Officers, and Practice Leads to align product roadmaps.

Candidate Qualifications & Technical Matrix

Minimum Qualifications

  • Academic Credentials: Bachelor’s Degree in Computer Science, IT, Engineering, Business, or related discipline.

  • Core Technical Experience: 4+ years in cloud/infrastructure technologies, IT consulting, systems architecture, or software development.

  • Industry & Practice Depth: 6–10+ years of experience in technology IP/services development, digital transformation initiatives, SaaS architectures, and emerging AI trends.

Technical & Platform Skills Matrix

Domain Area Technical Stack & Core Competencies
Data & Analytics Engine

• Azure Data Platforms: Microsoft Fabric, Azure Databricks, Azure Synapse Analytics

 

• Databases: Azure Cosmos DB, Azure SQL Database, Managed Instances
AI & Developer Tooling

• Generative AI models, Azure OpenAI Service, GitHub, GitHub Copilot, Apps Frameworks

 

• Machine Learning pipeline integration and AI governance
Security & Operations

• Data access policies, Enterprise Security, Azure Policy, Purview governance

 

• Change Management frameworks (Prosci certified preferred)

Preferred Qualifications

  • Customer Facing: 4+ years in customer- or partner-facing technical leadership roles.

  • Certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate, or equivalent multi-cloud/security certifications.

Selection Workflow & Assessment Pipeline

[Application & Resume Screening] ➔ [Technical Recruiter Screen] ➔ [Technical Architecture & AI Design Round] ➔ [Partner Strategy & CXO Case Presentation]

  1. Application Review: Verification of experience across Azure Data services, Microsoft Fabric, Databricks, and partner enablement history.

  2. Technical Architecture Assessment: Deep dive into system design, multi-tenant SaaS architecture, data governance, and Generative AI integration on Azure.

  3. Behavioural & Partner Strategy Interview: Evaluation of stakeholder management, ability to resolve technical blockers, and alignment with Microsoft’s growth mindset culture.

  4. Final Hiring Manager Loop: Comprehensive review of technical leadership capabilities, business acumen, and 25–50% travel readiness.

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