Member of Technical Staff - Engineering Lead, Data Platform
Core
Build and operate the core data systems and pipelines powering research, training, and production environments for open-weight AI systems.
Role type
Staff/Principal Engineering Lead, Data Platform
Builds
Trusted data backbone, ingestion, processing, and orchestration systems for high-velocity AI experimentation
Domain
Artificial Intelligence / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data engineering at scale, team leadership, technical direction, system design, cost optimization, data quality governance
Preferred skills
Building systems from zero, high-agency execution, cross-functional collaboration
Technologies
Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake, Great Expectations
Responsibilities
Build and mentor a team of ~10 data platform engineers; guide technical direction for ingestion, orchestration, and scalable compute/storage; enable high-velocity experimentation with unified data layer; establish data quality and lineage signals; optimize cost and performance; stay hands-on with architecture and code
Seniority
Staff/Principal, hands-on IC with leadership responsibilities