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14 часов назад

Manager, Data Engineering

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
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
Manager, Data Engineering (Data Platform): Leading a data engineering team and delivering trusted, reusable data products for reporting, analytics, AI/ML, and product experiences with an accent on roadmap ownership, platform reliability, governance, and scalable data architecture. Focus on building high-performing teams, managing delivery risks and trade-offs, and guiding pipelines and distributed systems using SQL, Python, Spark, Kafka, Snowflake or BigQuery, Airflow, and dbt.

Location: Hybrid; candidates must be located in Buenos Aires, Argentina

Company

hirify.global is a community fundraising platform that helps individuals and nonprofits raise support for personal and social causes.

What you will do

  • Lead a data engineering team within the Data Platform organization and translate business priorities into roadmaps, backlogs, and measurable outcomes.
  • Partner with Product, Engineering, Analytics, Data Science, Privacy, and business stakeholders to align priorities and execution plans.
  • Set ownership, milestones, deadlines, operating rhythms, and delivery metrics while managing risks, dependencies, resources, and trade-offs.
  • Hire, coach, develop, and manage the performance of data and platform engineers.
  • Deliver trusted, reusable, governed data products supporting reporting, analytics, AI/ML, and product experiences.
  • Partner with Staff+ engineers and architects on technical direction, platform health, reliability, scalability, cost management, and responsible AI tool adoption.

Requirements

  • 8–10+ years of experience in data engineering, platform engineering, or related fields, including 5+ years managing data engineers or platform teams.
  • Strong leadership, communication, stakeholder management, prioritization, resource allocation, risk management, and conflict-resolution skills.
  • Hands-on technical leadership across data architecture, modeling, ETL/ELT, batch and streaming pipelines, orchestration, and scalable distributed systems.
  • Experience guiding design and delivery with SQL, Python, Spark, Kafka, Snowflake or BigQuery, Airflow, dbt, cloud infrastructure, and CI/CD.
  • Working knowledge of data governance, quality, privacy, security, lineage, compliance, reliability, and cost management.
  • Experience using goals, delivery and operational metrics, continuous-improvement practices, and responsible AI tools in engineering teams.

Culture & Benefits

  • Mission-driven work supporting a community that helps people and nonprofits raise funds.
  • Competitive pay and comprehensive healthcare benefits.
  • Financial assistance for hybrid work and family planning, generous parental leave, flexible time-off policies, and mental health and wellness resources.
  • Learning, development, recognition, volunteering, and Gives Back programs.
  • Diversity, equity, and inclusion initiatives and employee resource groups.

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