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8 часов назад

Head of Data Platform (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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