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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

Описание вакансии

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TL;DR

Sr. Manager, Data Engineering: Leading a global team to build and optimize data ingestion and processing pipelines, enabling analytics and AI-driven insights with an accent on integrating various data sources and ensuring the scalability and reliability of the enterprise data platform. Focus on architecting large-scale data ingestion and transformation pipelines, managing priorities in a dynamic SaaS environment, and aligning data engineering initiatives with strategic organizational goals.

Location: Remote (USA)

Salary: $145,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package

Company

hirify.global is a global leader in cybersecurity, protecting the people, processes, and technologies that drive modern organizations.

What you will do

  • Lead, mentor, and develop a global team of data engineers, fostering collaboration across time zones.
  • Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake.
  • Partner closely with analytics and BI teams to define, curate, and deliver business metrics, KPIs, and standardized data models.
  • Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday, and other core business applications.
  • Collaborate with data science and product teams to support AI assistance bot integration, AI/ML workflows, and product telemetry analytics.
  • Ensure engineering excellence by aligning data practices with DevOps principles, CI/CD automation, and robust 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.
  • Excellent communication, leadership, and stakeholder management skills.

Nice to have

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

Culture & Benefits

  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays for recharge
  • Paid parental and adoption leaves
  • Professional development opportunities for all employees regardless of level or role