Azure Data Architect with AI

Data Architect is supposed to work with business stakeholders, data solution team(s) and digital product owners to drive design and implementation of the AI use cases running on common platform, based on modern Azure data stack.

Requirements:

• At least 4-5 years of experience in Data Architecture
• Expertise in Azure cloud service platform
• Expertise in Databricks: Delta Tables, DLT, Unity Catalog, etc.
• Good knowledge in Azure services: Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure OpenAI Service
• Proficiency in Python and PySpark
• Knowledge of modern Data Modeling and Design concepts
• Ability to design simplified E2E Azure solution architecture
• Agile - flexibility to execute available tasks in a rapidly changing environment
• Generative AI Fundamentals/Basics: Understanding of how AI models are trained to generate data (e.g., text, images) and their practical applications in cloud environments. Familiarize with RAG pattern, Experience in prompt engineering.
• MLOps: Familiarity with machine learning operations practices, including model versioning, continuous integration, and deployment (CI/CD) pipelines tailored for AI solutions.