Staff Data Engineer
Core
Design and own enterprise-grade data platforms, including scalable data lakes, warehouses, and pipelines, to support production AI/ML systems and enterprise operations.
Role type
Staff Data Engineer (Technical Leadership & Architecture)
Builds
Modern data platforms, data pipelines (batch/real-time), feature stores, and data flows for AI/ML systems
Domain
Enterprise Data Engineering & AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data architecture & strategy, distributed data systems, Python, Scala, SQL, data pipeline orchestration, streaming platforms (Kafka/Kinesis/Pub/Sub), data modeling, data quality & governance, container orchestration, CI/CD, AI/ML data flows (embeddings, vector stores, RAG)
Preferred skills
Data mesh, data fabric, lakehouse architectures
Responsibilities
Define data architecture and platform strategy; Build and optimize scalable data pipelines; Define and enforce data governance and quality standards; Build monitoring, logging, and alerting for data pipelines; Drive data platform modernization; Mentor junior and mid-level engineers; Lead design of data pipelines for production AI/ML systems
Seniority
Staff, hands-on IC with strategic leadership
