8 часов назад
Head of Data Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Data Platform (AI/data infrastructure): Building and operating the unified data systems and pipelines that power open-weight AI research, training, and production environments with an accent on ingestion, orchestration, scalable storage, and reproducibility. Focus on growing a high-performing engineering team, designing reliable data infrastructure at tens of terabytes to petabytes per day, and establishing data quality, lineage, governance, cost, and performance controls.
Location: On-site in San Francisco, CA; London; or New York, NY
Company
is a research lab building open-weight AI models and the data backbone that supports their research, training, and production environments.
What you will do
- Build, mentor, and grow a team of approximately 10 data platform engineers.
- Set the technical direction for ingestion and orchestration across batch and streaming workloads.
- Develop scalable compute and storage foundations, including versioned pipelines, backfills, and isolated execution environments.
- Partner with research, training, and production teams to support high-velocity experimentation on a unified data layer.
- Establish data quality, lineage, metadata, governance, and reproducibility systems.
- Stay hands-on through design reviews, architecture decisions, system tuning, and critical code contributions.
Requirements
- 8+ years of engineering experience with a strong data engineering foundation.
- Experience shipping and owning production-grade pipelines processing tens of terabytes to petabytes of data daily.
- Staff- or principal-level individual contributor experience before moving into engineering leadership.
- Experience managing and growing a team of approximately 5–10 engineers, or demonstrated readiness to build one quickly.
- Deep expertise in ingestion and orchestration at scale, storage and processing engines, or data quality, lineage, and reproducibility systems, with working breadth across the other areas.
- Fluency in the modern data stack and experience building new systems from zero in a fast-paced, collaborative environment.
Nice to have
- Experience with Spark, Flink, Beam, Airflow, Dagster, Kafka, or Pub/Sub.
- Experience with data lakes, warehouses, Parquet, Iceberg, Delta Lake, BigQuery, or Snowflake.
- Experience with lineage systems, metadata management, Great Expectations, partitioning, clustering, cost optimization, or SLA-driven pipelines.
Culture & Benefits
- On-site collaboration within a talent-dense team building from the ground up.
- Competitive salary and equity, including stock options.
- Comprehensive medical, dental, vision, and life insurance with an annual wellness allowance.
- Lunch and dinner provided daily in the office.
- 22 weeks of paid parental leave; unlimited paid time off in the U.S. and 30 vacation days in the U.K.
- Visa sponsorship and support for long-term immigration pathways where applicable.
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