Senior Data & AI Platform Engineer

Data Warehouse Ownership:

• Own and evolve Orchestry’s Fabric-based Data Warehouse as the trusted foundation for analytics and AI.
• Design and implement scalable data models, transformations, and refresh strategies
• Establish data quality checks, lineage, and trust signals

AI-Ready Data Architecture:

• Design the warehouse not just for reporting, but for reasoning.
• Create schemas and semantic layers optimized for retrieval, aggregation, and temporal analysis
• Build curated datasets and feature-like abstractions for AI consumption

Agentic Workflows & Internal AI Systems:

• Develop internal AI agents that query the warehouse, interpret results, and recommend or take action
• Create automation workflows across Usage analysis Customer insights Sales enablement Support intelligence Engineering and product signal
• Build reusable frameworks for internal agents, including tool orchestration, prompt management, and workflow execution