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Engineering Manager, Data Platform

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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Описание вакансии

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TL;DR
Engineering Manager, Data Platform (AI/Data Infrastructure): Building and operating unified data systems and pipelines for open-weight AI research, training, and production with an accent on scalable ingestion, orchestration, storage, and reproducibility. Focus on growing a team of data platform engineers, designing reliable lakehouse infrastructure, and controlling data quality, lineage, cost, and performance at tens of terabytes to petabytes per day.

Location: On-site in San Francisco, New York, or London

Company

hirify.global is a research lab building open-weight AI models and the data infrastructure 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 batch and streaming ingestion, orchestration, scalable compute, and storage.
  • Develop reproducible pipelines with versioning, 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, governance, cost, and performance controls.
  • Stay hands-on through design reviews, architecture decisions, 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 daily.
  • Previous staff- or principal-level individual contributor experience before moving into engineering leadership.
  • Experience managing and growing a team of approximately 5–10 engineers, or clear readiness to build one quickly.
  • Deep expertise in ingestion and orchestration, storage and processing engines, or data quality, lineage, and reproducibility systems, with working breadth across the other areas.
  • Strong communication skills and the ability to work across research and infrastructure teams in a fast-paced environment.

Nice to have

  • Experience building new data systems from zero rather than maintaining legacy platforms.
  • Experience with Spark, Flink, Beam, Airflow, Dagster, Kafka, Pub/Sub, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake, Great Expectations, and SLA-driven pipelines.

Culture & Benefits

  • Salary and equity are structured to recognize and retain talent globally.
  • Stock options for employees.
  • Comprehensive medical, dental, vision, and life insurance, plus an annual wellness allowance.
  • Daily lunch and dinner in the office.
  • 22 weeks of paid parental leave for birthing and non-birthing parents.
  • Unlimited paid time off in the U.S. and 30 vacation days in the U.K.; visa sponsorship and long-term immigration support are available where applicable.

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