Create POCs and define technical migration strategies for existing solutions into the cloud platform.
Assist in creating Business Use Cases for several reporting projects.
Define architecture of data management and advanced analytics solutions in the Azure cloud.
Ensure solution compliance with internal frameworks and standards.
Develop documentation of system components following obligatory standards.
Support IT team in technical implementation, testing, application deployment, and knowledge transfer to the IT support.
Collaborate closely with business stakeholders to ensure the high quality of the final product.
Requirements:
5+ years of experience in Data Architecture & Engineering
Experience with business intelligence, data analysis, and reporting in enterprise environments
Experience in design, development, and implementation of solutions architecture on the Microsoft Azure platform
Good understanding of data security topics, from networking layer to the end user interface
Working experience with Azure Databricks (administration and data engineering) and Azure Data Factory
Good understanding of Azure services (SQL database, administration, IAM, Data Lake)
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. Familiar with RAG pattern,
MLOps: Familiar with machine learning operations practices, including model versioning, continuous integration, and deployment (CI/CD) pipelines tailored for AI solutions.
Familiarity with data visualization tools (Power BI, Qlik) is a plus
Experience with agile project delivery methodologies (Scrum, Kanban)
42 - 47 USD/h
Net per hour - B2B
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