Data Architect

Codebridge Technology, Inc.; Dover (DE); Remoto; USD 140.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible remote work

Kyiv office access

20 vacation days + 15 sick days

Professional growth support

Premium AI tools access

Descrizione del lavoro

Codebridge Technology, Inc. seeks a Data Architect to design the data layer powering enterprise GenAI/RAG/Agentic applications on Azure. You will own Azure Cosmos DB and shape data architecture for AI-enabled use cases while modernizing data platforms with Synapse, Databricks, and SQL MI.

Requirements include 7+ years in data architecture/engineering, Cosmos DB expertise, and advanced English. Flexible work setup available from home or Kyiv office.

Competenze

• 7+ years in data architecture or data engineering.
• Azure Cosmos DB experience.
• AI-ready data architecture experience.
• Hands-on experience designing data architecture for RAG/GenAI/Agentic AI.
• Experience with Azure Data Lake / Lakehouse and Azure Functions.
• Experience with structured and unstructured data.
• Advanced English proficiency.

Mansioni

• Design and evolve enterprise Azure data architecture for broad enterprise needs, including GenAI/RAG/Agentic AI.
• Own Azure Cosmos DB as a foundational component of the platform.
• Design data architecture for GenAI/RAG use cases (architecture-level ownership).
• 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 with metadata-driven ingestion.
• Own data modeling and architectural decisions across data types.
• Build scalable, well-governed data platforms to support modernization.

Conoscenze

Data architecture

Data engineering

Azure

Strumenti

Azure Cosmos DB

Azure Synapse Analytics

Azure Databricks

Azure SQL MI

SQL Server

T-SQL

Azure Functions

Descrizione del lavoro

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:

• 7+ years of experience in data architecture / data engineering
• Azure Cosmos DB — fundamental and essential
• 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
• Experience with Azure Data Lake / Lakehouse architecture and Azure Functions
• Experience with structured and genuinely unstructured data
• Experience with metadata/configuration-driven ingestion and scalable data-platform design
• Advanced level of English

Recruitment Process:

• CV Review
• HR&Technical Interview
• Client stage
• Offer

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.)