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9 дней назад

Data Engineer, VP - Systems and Data Engineering (Snowflake)

160 000 - 225 000$
Формат работы
onsite
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

Текст:
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TL;DR
Data Engineer, VP - Systems and Data Engineering (Snowflake): Engineering and operating enterprise Snowflake data platforms and pipelines with an accent on scalability, reliability, data quality, and operational excellence. Focus on designing ETL/ELT architectures, improving observability and governance, and leading complex production incident response across 24x7 business-critical systems.

Location: New York, United States

Expected annual base salary: $160,000–$225,000

Company

hirify.global is an alternative asset manager with investment strategies across real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.

What you will do

  • Provide senior technical leadership for enterprise data engineering initiatives and influence architecture and technology decisions.
  • Design, evolve, and operate Snowflake-based data platforms supporting ingestion, transformation, orchestration, and delivery.
  • Establish standards for ETL/ELT development, metadata management, lineage, observability, automation, and reusable data services.
  • Improve data quality through automated validation, monitoring, remediation, governance, and quality metrics.
  • Lead production support, root cause analysis, incident response, on-call escalation, and reliability improvements for 24x7 systems.
  • Partner with engineering, infrastructure, cybersecurity, architecture, governance, and business teams on roadmaps and platform investments.

Requirements

  • 10+ years of experience in data engineering, platform engineering, or related disciplines.
  • Significant hands-on experience with Snowflake in large-scale enterprise environments.
  • Deep expertise in ETL/ELT architectures, data integration, orchestration frameworks, and modern data platforms.
  • Experience supporting business-critical production systems in a 24x7 environment, including major incident response.
  • Strong background in data quality, observability, monitoring, operational excellence, and platform reliability.
  • Ability to influence engineering organizations through technical leadership without direct people management responsibility.

Nice to have

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • Experience with analytics, reporting, AI, and machine learning platforms.
  • Experience with Infrastructure as Code, CI/CD, DevOps, and platform automation.
  • Familiarity with data governance, lineage, metadata management, and financial-services regulatory requirements.
  • Experience working across globally distributed engineering organizations.

Culture & Benefits

  • Collaboration across engineering, infrastructure, cybersecurity, architecture, governance, and business functions.
  • Medical, dental, vision, and FSA benefits.
  • Paid time off, life insurance, and a 401(k) plan.
  • Discretionary bonuses and potential eligibility for equity and other incentive compensation.

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