
Cloud Data Specialist
1 day ago
We are seeking a skilled professional to drive the technical depth, accuracy, and instructional value of our training content. This role involves leading the definition and review of presentations, labs, and real-world scenarios on modern data and AI stacks, working closely with content creators to shape advanced learning experiences.
Key Responsibilities:
- Develop and validate learning content aligned to industry-recognized certification paths.
- Provide technical guidance on data pipelines, lakehouse architecture, and ML/AI integration.
- Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services.
- Translate complex concepts into structured training materials.
- Stay current with emerging trends in the field, including OpenAI integration and Fabric convergence.
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.
Preferred Qualifications:
- Certifications: DP-203, AI-102, DP-100.
- Experience building or validating technical training content.
- Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM.
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