Senior Azure Data Architect GenAI / RAG / Agentic AI

Location: Remote, worldwide (except Russia)
Employment: Full-time
Duration: Long-term
Rate: Up to $30/hour
English: B2+/C1
Start: ASAP

About the Role
We are looking for an experienced Senior Azure Data Architect with strong expertise in enterprise data architecture and proven experience designing production-ready data platforms supporting Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Agentic AI applications.
The ideal candidate has a strong background in Azure data services, particularly Azure Cosmos DB and Azure Synapse Analytics, and has personally designed or taken architectural ownership of enterprise data solutions used by AI-powered applications.
Important: This is a Data Architecture role, not an AI/ML Engineering position. Hands-on development of RAG pipelines or AI agents is not required. The primary focus is designing scalable, reliable, AI-ready enterprise data architectures.

Key Responsibilities
Design and own enterprise-scale data architectures within the Microsoft Azure ecosystem.
Architect production-ready data platforms supporting GenAI, RAG, and Agentic AI applications.
Design data ingestion, transformation, storage, and retrieval architectures for structured and unstructured enterprise data.
Define AI-ready data architecture patterns, ensuring enterprise knowledge is accessible to AI-powered applications.
Design and optimize solutions using Azure Cosmos DB, Azure Synapse Analytics, and related Azure data services.
Develop scalable, metadata-driven and configuration-driven data ingestion frameworks.
Design data models, lakehouse architectures, and enterprise data integration patterns.
Lead architectural decisions related to data platform modernization, scalability, reliability, and performance.
Ensure appropriate data governance, security, accessibility, and maintainability.
Collaborate with engineering, AI, and business teams to align data architecture with application requirements.
Must-Have Requirements
Strong expertise in enterprise Azure Data Architecture.
Deep hands-on architectural experience with Azure Cosmos DB mandatory.
Strong experience with Azure Synapse Analytics.
Proven experience designing production-ready data architectures for GenAI, RAG, or Agentic AI applications.
Direct involvement in at least one real-world project where you designed or owned the data architecture supporting RAG, GenAI, or AI-agent applications.
Demonstrated ability to independently design and take ownership of complex enterprise data architectures.
Experience designing AI-ready data platforms, including data ingestion, preparation, storage, governance, and retrieval.
Understanding of enterprise knowledge management and data accessibility requirements for AI applications.
Experience working with structured and unstructured data.
Strong data modeling, system integration, and architecture modernization skills.
Experience designing scalable and reliable production data platforms.
English B2+/C1.

Please note: Theoretical knowledge of RAG or Agentic AI is not sufficient. Candidates must demonstrate practical architectural experience and clearly explain their personal responsibilities and contributions to production projects.
Additional Technical Skills
Azure Databricks
Azure SQL Managed Instance / SQL Server / T-SQL
Azure Data Lake Storage
Lakehouse Architecture
Azure Functions
Metadata-driven and configuration-driven ingestion frameworks
Enterprise data platform modernization
Data governance and integration patterns
Data retrieval and knowledge management architectures

What We Offer
Fully remote collaboration from anywhere in the world (except Russia).
Long-term, full-time engagement.
Competitive hourly rate up to $30.
Opportunity to work on enterprise-scale Azure data platforms supporting modern GenAI applications.
Technically challenging projects with significant architectural ownership.
ASAP start.
Recruitment Process
Interview stages: To be confirmed.
Interested?
Please send your CV along with a brief description of a production project where you personally designed or owned the data architecture for a GenAI, RAG, or Agentic AI application. Highlight your experience with Azure Cosmos DB and Azure Synapse Analytics.