Codebridge is looking for a Data Architect to design the data layer powering enterprise GenAI/RAG/Agentic applications on Azure.

• Design and evolve enterprise Azure data architecture supporting a broad range of needs — from classic data platforms to the data layer behind GenAI/RAG/Agentic applications 

• Own Azure Cosmos DB as a foundational, essential component of the platform 

• Design the data architecture around GenAI/RAG use cases: how enterprise data and knowledge are ingested, prepared, stored, governed, and made available for retrieval and AI consumption (architecture-level ownership — not hands-on RAG/agent development) 

• Build and modernize data platforms on Azure Synapse Analytics, Azure Databricks, and Azure SQL MI / SQL Server / T-SQL 

• Design Data Lake / Lakehouse architecture 

• Develop ingestion processes on Azure Functions, including metadata/configuration-driven ingestion 

• Own data modeling and architectural decisions across structured and genuinely unstructured data 

• Build scalable, well-governed data platforms supporting platform modernization 

• Strong enterprise Azure Data Architecture background 

• 7+ years of experience in data architecture / data engineering 

• Azure Cosmos DB — fundamental and essential 

• Relevant experience designing data platforms supporting GenAI/RAG use cases  

• Relevant experience with AI-ready data architecture 

• Hands-on experience on a real project where you designed or contributed to the data architecture supporting a RAG, GenAI, or Agentic AI application  

• Strong hands-on knowledge of Azure Synapse Analytics, Azure Databricks, Azure SQL MI / SQL Server / T-SQL 

• Experience with Azure Data Lake / Lakehouse architecture and Azure Functions 

• Strong architecture ownership: data modeling, ingestion, platform modernization 

• Experience with structured and genuinely unstructured data 

• Experience with metadata/configuration-driven ingestion and scalable data-platform design 

• Advanced level of English 

‍

Recruitment Process:

1. CV Review

2. HR&Technical Interview

3. Client stage

4. Offer

• Technical Ownership: You own the data architecture and the standards behind it 

• Modern AI Work: GenAI/RAG-driven data architecture as the everyday job, not a side project 

• Collaborative Environment: A team that values partnership, creativity, and mutual respect 

• Flexible Work: Work remotely from the comfort of your home or join us in our modern Kyiv office 

• Generous Time Off: 20 paid vacation days + 15 sick leave days annually 

• Professional Growth: Compensation for courses, certifications, and learning resources 

• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Claude Code, GitHub Copilot, etc.)