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4 дня назад

Sr. Engineering Manager - Data Platform

Формат работы
remote (только USA)
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
Sr. Engineering Manager - Data Platform (Data Infrastructure/Data Engineering): Building reliable, scalable, secure, and developer-friendly data infrastructure covering ingestion, processing, storage, compute, orchestration, and observability with an accent on platform architecture, governance, resilience, and developer workflows. Focus on leading a data platform engineering team, defining APIs and SLAs, improving pipeline reliability, and solving complex scalability, security, disaster recovery, and cost optimization challenges.

Location: United States; remote workplace

Company

hirify.global provides an AI-powered business operating system for agencies, entrepreneurs, and small and medium-sized businesses, supporting automation, conversations, intelligence, and data-intensive operations at global scale.

What you will do

  • Lead, recruit, mentor, and develop a high-performing data platform engineering team.
  • Set the strategy, architecture, roadmap, and technical direction for data ingestion, processing, storage, compute, orchestration, and observability.
  • Define platform abstractions, APIs, service-level agreements, data quality standards, and developer workflows.
  • Improve infrastructure resilience through monitoring, incident management, disaster recovery, security controls, governance, and cost optimization.
  • Partner with Product, Data, Finance, Security, Audit, Analytics Engineering, and other organizations on multi-quarter initiatives.
  • Build organizational standards that support machine learning, experimentation, business reporting, and data-powered products.

Requirements

  • 10+ years of experience in software engineering, SRE, infrastructure, data platform engineering, or a related field.
  • 4+ years of experience managing, growing, and developing high-performing technical teams.
  • Deep expertise with Snowflake, Google BigQuery, Databricks, or equivalent modern data warehousing systems, plus tools such as Airflow and dbt.
  • Strong understanding of data warehousing, infrastructure workload management, data security, platform SLAs, and governance frameworks.
  • Familiarity with Git and CI/CD workflows.
  • Strong stakeholder management, communication, and cross-organizational technical influence skills.

Nice to have

  • Experience delivering customer-facing data products and scaling platform organizations during rapid growth.
  • Experience with event-driven data architectures, experimentation platforms, machine learning initiatives, data science, and product analytics.
  • Knowledge of metrics governance and executive KPI frameworks.

Culture & Benefits

  • Remote-first environment with team members across more than 10 countries.
  • Culture centered on ownership, initiative, clarity, execution, technical rigor, and continuous development.
  • Opportunity to work on infrastructure supporting more than 1 million businesses and billions of daily API and message events.
  • Focus on building leadership succession, delegated autonomy, and professional growth.

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