- Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
- Build and optimize scalable data pipelines supporting batch and real-time processing
- Define and enforce data governance, quality standards, and compliance frameworks
- Build monitoring, logging, and alerting for data pipelines and services
- Drive data platform modernization, optimizing for performance, cost, and scalability
- Design and implement data pipelines for production AI/ML systems, including embeddings, vector stores, RAG, and feature stores
- Collaborate with engineering, analytics, and product teams
- Mentor junior and mid-level engineers