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Sr. Manager, Data Engineering (AI)

145 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Sr. Manager, Data Engineering: Leading a global team to build, scale, and optimize data ingestion and processing pipelines for analytics and AI-driven insights. Focus on integrating diverse data sources from business systems and APIs, ensuring scalability, reliability, and aligning with DevOps principles.

Location: Remote (USA)

Salary: $145,000 - $220,000 per year

Company

hirify.global is a global leader in cybersecurity, protecting organizations with an AI-native platform.

What you will do

  • Lead, mentor, and develop a global team of data engineers, driving operational excellence.
  • Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake.
  • Partner with analytics and BI teams to define and deliver business metrics, KPIs, and standardized data models.
  • Manage data integration and transformation from enterprise systems such as Salesforce, NetSuite, and Workday.
  • Collaborate with data science and product teams to support AI assistance bot integration and ML workflows.
  • Ensure engineering excellence by aligning data practices with DevOps principles and data governance standards.

Requirements

  • 8+ years of experience in data engineering, with at least 3+ years in a people management or leadership role.
  • Demonstrated success leading and managing global, distributed teams across multiple time zones.
  • Proven expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake.
  • Deep experience in API-based data ingestion, real-time streaming, and data pipeline orchestration at scale.
  • Hands-on experience with data integration from SFDC, NetSuite, Workday, and similar business platforms.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

Nice to have

  • Experience working for a SaaS security company and building business metrics.

Culture & Benefits

  • Market leader in compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation and holidays for recharge.
  • Professional development opportunities for all employees.
  • Employee Networks and volunteer opportunities to build connections.
  • Great Place to Work Certified™ across the globe.

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