Data Engineer

• Support a broad set of architectural needs across multiple workstreams
• Design and own the data layer behind GenAI, RAG, and Agentic AI applications
• Ensure enterprise data and knowledge are ingested, prepared, stored, governed, and made available for AI consumption and retrieval
• Own and design data architecture, data modeling, ingestion, and platform modernization for enterprise Azure environments
• Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions
• Work with structured and genuinely unstructured data across the enterprise platform
• Modernize existing data platforms and ensure implementation-ready architecture

Senior Azure Data Architect – GenAI, RAG, Agentic AI

• Support and maintain the production Data Lake, including transformations and reports hosted in Databricks
• Monitor pipeline health and investigate and resolve data issues
• Maintain and improve existing Python-based transformation logic
• Support end users and stakeholders with data-related requests and incidents
• Document changes and maintain up-to-date technical documentation for the platform

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to maintain high code quality
• Work independently and collaboratively with the team
• Communicate clear instructions to team members and help manage day-to-day operations
• Communicate regularly with the client
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code
• Optimize code for performance and scalability
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues to ensure application reliability and performance
• Create and maintain comprehensive documentation for code, processes, and workflows

Data Engineer jobs in Georgia

Senior Azure Data Architect – GenAI, RAG, Agentic AI

Data Engineer

Senior Data Engineer, Databricks