Data Engineer with AI

Lumiere SystemsPhoenix, AZ

About The Position

We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering AI-ready data foundations—ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents.

Requirements

  • 10+ years of experience in data engineering and platform architecture
  • Strong expertise in cloud platforms (Azure, AWS, or GCP) and modern data ecosystems
  • Familiarity with AI/ML data pipelines, feature stores, and model lifecycle support
  • Experience with LLM data pipelines
  • Strong understanding of data governance, metadata management, and security frameworks

Nice To Haves

  • Experience building data platforms for AI agents / agentic workflows
  • Knowledge of RAG (Retrieval Augmented Generation) architectures and semantic search
  • Exposure to data mesh / domain-oriented data architectures
  • Experience in large-scale enterprise transformation programs

Responsibilities

  • Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications
  • Design pipelines to deliver AI-ready data (curated, labeled, contextualized, and feature-rich datasets)
  • Develop robust data ingestion, transformation, and serving layers (batch + real-time)
  • Enable semantic data models, knowledge graphs, and vector databases to power AI agents and LLMs
  • Implement data quality, lineage, and governance frameworks to ensure trust and compliance
  • Collaborate with AI/ML teams to support feature engineering, model training, and inference pipelines
  • Optimize data architectures for performance, scalability, and cost efficiency
  • Mentor teams and establish best practices for AI-driven data engineering
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