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21 час назад

Senior Manager, Data Engineering (Snowflake)

240 000 - 310 000$
Формат работы
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

Senior Manager, Data Engineering (Snowflake): Leading the core data platform organization to build scalable pipelines, infrastructure, and reliability standards with an accent on operational excellence and architectural strategy. Focus on evolving cloud data infrastructure, managing multi-team engineering organizations, and optimizing Snowflake performance at scale.

Location: Hybrid in New York, New York

Salary: $240,000 - $310,000 per year

Company

hirify.global is an HR tech platform that enables businesses to focus on growth by solving complex HR, payroll, and benefits issues through a data-driven approach.

What you will do

  • Own the technical direction of the core data platform, including pipelines, infrastructure, orchestration, and reliability standards.
  • Lead architectural decisions for cloud data infrastructure, balancing scalability, cost, security, and performance.
  • Manage and develop a team of data engineers and line managers, fostering a culture of high engineering craft and continuous improvement.
  • Drive operational excellence across the platform through improved observability, data quality, and incident management.
  • Collaborate with BI, Data Science, and other engineering teams to align on data contracts and enterprise OKRs.
  • Recruit and hire high-caliber data engineering talent to scale the platform organization.

Requirements

  • 10+ years of professional experience in data engineering.
  • 5+ years of hands-on experience with modern PaaS data stacks (Snowflake, Fivetran, Airflow, dbt).
  • 5+ years of engineering management experience, including managing other managers.
  • Deep expertise in Snowflake schema design, query optimization, and cost governance.
  • Proficiency in SQL, Python, AWS services, and Infrastructure-as-Code (Terraform/CloudFormation).
  • Must be based in New York, New York (Hybrid).

Nice to have

  • Experience building data platforms for ML/AI workloads, including feature and vector stores.
  • Background in regulated environments such as fintech, HR tech, or healthcare.
  • Experience with streaming/CDC technologies like Kafka, Debezium, or Estuary.

Culture & Benefits

  • Welcoming and casual work environment with an entrepreneurial spirit.
  • Comprehensive wellness program and competitive benefits package.
  • Regular company retreats to foster team bonding.
  • Strong commitment to diversity, equity, inclusion, and people growth.
  • Supportive culture based on shared values of camaraderie, openness, grit, integrity, and simplicity.

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