Informacje o stanowisku
Data Architect is supposed to work with business stakeholders, data solution team(s), and digital product owners to drive the design and implementation of the AI use cases running on the common Group UDP platform, based on the modern Azure data stack.
Requirements:
- At least 4 years of experience in Data Architecture
- Expertise in Azure cloud service platform
- Expertise in Databricks: Delta Tables, DLT, Unity Catalog, etc.
- Good knowledge of 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.
Data Architect is supposed to work with business stakeholders, data solution team(s), and digital product owners to drive the design and implementation of the AI use cases running on the common Group UDP platform, based on the modern Azure data stack.
Requirements: Python, Databricks, Azure Data Factory, Azure Data Lake Tools: Jira, Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, International projects.
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