
Microsoft Azure Data
4 weeks ago
Overview
We are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive the technical depth, accuracy, and instructional value of our training content. You'll lead the definition and review of presentations, labs, and real-world scenarios on Azure's modern data and AI stack, working closely with content creators to shape advanced, certification-aligned learning experiences.
Key Responsibilities
- Define and validate learning content aligned to DP-203, AI-102, and DP-100 certification paths
- Provide technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integration
- Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services
- Translate AI/ML concepts (e.g., model lifecycle, prompt engineering, RAI) into structured training materials
- Stay current with Microsoft's evolving data/AI ecosystem including OpenAI integration and Fabric convergence
- Ensure quality, realism, and accuracy across all deliverables, collaborating with writers and stakeholders
Required Skills
- Deep hands-on experience in:
- Data: Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub
- AI: Azure OpenAI, Cognitive Services, Azure Machine Learning Studio, Responsible AI
- 7+ years in roles such as data engineer, ML engineer, AI architect, or applied data scientist
- Proficient with Spark, Python, SQL, and REST APIs
- Strong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governance
- Ability to bridge technical concepts for instructional teams and content developers
Good-to-Have
- Certifications: DP-203, AI-102, DP-100 (preferred, not mandatory)
- Experience building or validating technical training content
- Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM
- Experience with prompt engineering and Azure OpenAI orchestration tools (e.g., LangChain, Semantic Kernel)
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