Why This Role Stands Out
This Azure AI Architect role offers an exceptional opportunity to shape the future of AI-driven data platforms, driving innovation and building enterprise-wide solutions. You'll thrive here if you possess deep expertise in Azure Databricks and Agentic AI frameworks, coupled with a passion for mentoring teams and leading strategic AI transformations. Embrace the flexibility of a remote work arrangement while contributing to impactful projects that redefine data engineering.
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLETLMLOpsAzureDatabricksGenerative AIGitHub ActionsPythonUnity
Job Description
- Role Objective:
- Technical Skills Required:
- Expertise in Azure Databricks, Delta Lake, Unity Catalog, Azure Data Factory.
- Experience with AI & Agentic frameworks: Azure OpenAI, LangChain, LangGraph, MCP Protocol, Vector Databases, AI Agent Orchestration.
- Proficiency in Data Engineering tools: PySpark, Spark SQL, Python, SQL, ELT/ETL modernization.
- DevOps/AI-DLC: Azure DevOps, GitHub Actions, CI/CD, MLOps, LLMOps, evaluation and AI testing frameworks.
- Leadership Expectations:
- Drive AI-first transformation in Data Engineering.
- Define and build enterprise-wide patterns, accelerators, and reusable AI agents.
- Mentor and guide architects, data engineers, and AI engineers.
- Lead strategic conversations with executives on AI adoption, ROI, and transformation strategies.
- Preferred Certifications:
- Databricks Certified Data Engineer Professional
- Databricks Certified Solution Architect
- Microsoft Azure Solution Architect (AZ-305)
- Azure Data Engineer (DP-203)
- Microsoft Applied Skills Azure OpenAI
- Generative AI / Agentic AI certifications
- Mandatory Skills: Azure, Databricks, Agentic AI, ETL, SQL, Data Engineering.
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