
Senior Cloud Data Engineer
24 hours ago
We are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive technical depth, accuracy, and instructional value of our training content. As an expert in Microsoft Azure Data, you will 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 industry standards for Azure data pipelines, lakehouse architecture, and ML/AI integration.
- Provide technical guidance on designing and implementing Azure data solutions, including data warehouses, data lakes, and cloud-based analytics platforms.
- Design and review labs and walkthroughs using Azure Synapse, Data Factory, Databricks, and Cognitive Services, ensuring quality, realism, and accuracy across all deliverables.
- Translate AI/ML concepts into structured training materials, enabling learners to develop practical skills in Azure AI services.
- Stay current with Microsoft's evolving data/AI ecosystem, including OpenAI integration and Fabric convergence.
- Collaborate with writers and stakeholders to ensure that all content meets high standards of quality, realism, and accuracy.
Required Skills and Qualifications
- 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;
- 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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