Senior Data Engineer
Core
Own the end-to-end engineering lifecycle for data pipelines and platforms supporting GenAI systems, LLMs, and agents, ensuring secure, reliable, and maintainable solutions.
Role type
Senior Data Engineer (GenAI/ML infrastructure)
Builds
Production data pipelines, feature stores, retrieval and grounding datasets, evaluation harnesses, and serving paths for AI models.
Domain
Artificial Intelligence / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Data pipeline design and operation at scale, GenAI data consumption patterns (training, features, embeddings), AI-assisted development tools, distributed systems in cloud (Azure), DevOps/CI/CD, secure coding and threat modeling, data governance and compliance, technical leadership and mentoring, observability and telemetry design.
Preferred skills
None stated.
Technologies
Azure, C#, Java, C++, Python, JavaScript/TypeScript, GitHub Copilot, agentic coding workflows.
Responsibilities
Design and operate large-scale distributed data systems; build training and evaluation datasets for LLMs; drive zero-touch deployment automation; mentor engineers on data engineering and AI fluency; manage cross-team data dependencies and schema changes; run experiments to guide ship decisions.
Seniority
Senior, hands-on IC with leadership responsibilities.
