Azure Data Architect Lead

1 week ago

Davangere, Karnataka, India beBeeAzure Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a Subject Matter Expert (SME) in Azure Data & AI 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 Azure's modern data and AI stack, working closely with content creators to shape advanced, certification-aligned learning experiences.

Key Responsibilities
  • Develop 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.
  • Maintain current knowledge 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 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
Desirable Skills
  • 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)

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