Data Architect

Job description

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

Responsibilities:

- 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

Requirements:

- 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

We 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.)

Recruitment Process:

- CV Review

- HR&Technical Interview

- Client stage

- Offer