
Technical Lead in Azure Data and AI
7 days ago
We are seeking an experienced technical lead to drive the development of our training content on Azure's modern data and AI stack. This is a unique opportunity to shape advanced learning experiences and work closely with content creators.
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)
- Opportunity to work on cutting-edge projects in Azure Data and AI
- Collaborative environment with experienced professionals
- Chance to develop and expand your skills in technical writing and training
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