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4 часа назад

Staff Data Platform Engineer (AI)

216 000 - 270 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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
Staff Data Platform Engineer (AI): Architecting and operating scalable enterprise-grade data systems that support analytics, ML, and GenAI products with an accent on DataOps, MLOps, infrastructure, and data governance. Focus on designing the platform roadmap, standardizing data tooling, running production ML systems, and driving secure, reliable data infrastructure adoption across engineering teams.

Location: United States; hybrid near a hirify.global hub with at least 2 office days per week, or fully remote if not located near a hub. US hubs: Austin, TX; New York City, NY; San Francisco, CA; and Arlington, VA. Hybrid roles require up to 25% travel; remote roles require up to 50% travel.

Base salary: $216,000–$270,000 annually in New York City and San Francisco; $194,400–$243,000 annually in other locations.

Company

hirify.global provides virtual professional coaching powered by AI technology and behavioral science.

What you will do

  • Architect, build, and maintain scalable, enterprise-grade data systems.
  • Centralize and standardize data collection, transformation, storage, serving, and analysis.
  • Build platform capabilities supporting ML and GenAI data delivery, processing, and infrastructure.
  • Enable internal and customer-facing reporting and analytics.
  • Manage data infrastructure, vendors, tooling, and operational processes.
  • Set the technical direction and standards for the data platform over a 1–2 year horizon, mentoring and influencing engineers across the organization.

Requirements

  • 7+ years of experience in data platform engineering, data infrastructure, or related technical roles.
  • Strong programming background, such as Python.
  • Operational maturity with CI/CD, Infrastructure as Code, Kubernetes, monitoring, distributed systems, security, and privacy best practices.
  • Experience building and maintaining analytics stacks such as Snowflake, dbt, and Looker.
  • Experience running GenAI or ML systems in production, including MLOps tooling, vector search, embedding stores, or feature engineering at scale.
  • Experience architecting data systems with technologies such as Airflow and Kafka.

Culture & Benefits

  • Personal hirify.global coaching for employees and one friend or family member.
  • Medical, dental, and vision insurance.
  • Flexible paid time off, federal and statutory holidays, and company-wide summer and winter breaks.
  • Four hirify.global Inner Workdays and five volunteer days per year.
  • Learning and Development stipend.
  • 401(k) self-contribution and charitable contributions on behalf of hirify.global.

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