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Azure Data Solutions Lead
2 weeks ago
We are seeking a Data Expert to drive technical depth and instructional value in our training content.
This individual will lead the definition and review of presentations, labs, and real-world scenarios on Azure's modern data stack, working closely with content creators to shape advanced learning experiences.
Key Responsibilities:
- Define and validate learning content aligned to industry standards.
- Provide guidance on data pipelines, lakehouse architecture, and AI integration.
- Design and review labs using Synapse, Data Factory, Databricks, and Cognitive Services.
- Translate complex concepts into structured training materials.
- Stay current with evolving data ecosystems, including OpenAI integration.
- Ensure quality, realism, and accuracy across all deliverables, collaborating with writers and stakeholders.
Required Skills:
- Deep hands-on experience in data: Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub.
- Ai/AI: OpenAi/Cognitive Services, 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 application architecture, ethical practices, and cloud-scale 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 orchestration tools.
