
Azure Data Specialist
4 days ago
We are seeking a highly skilled professional to drive the technical depth and accuracy of our training content in Azure's modern data and AI stack.
- This role involves defining and validating learning content aligned to certification paths, providing technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integration.
- The ideal candidate will design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services.
- Strong technical skills in data engineering, AI, and cloud computing are required, along with experience in roles such as data engineer, ML engineer, AI architect, or applied data scientist.
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)
- 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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