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10 дней назад

Engineering Manager, Data

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
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
Engineering Manager, Data (Data Engineering): Leading the development of enterprise-scale data solutions and managing teams that build reliable data platforms for analytics, reporting, and business decisions with an accent on data architecture, scalable engineering, and team growth. Focus on designing reusable data assets, improving batch and real-time ETL systems, and applying AI solutions in the data space.

Location: Sao Paulo, Brazil

Company

hirify.global is a data-driven technology company that builds products and data solutions supporting business and product decision-making.

What you will do

  • Lead, hire, coach, and grow a high-performing data engineering team.
  • Guide the development of enterprise-scale data solutions and define technical and strategic direction.
  • Improve data architecture, development processes, reliability, quality, and engineering excellence.
  • Break down large systems into reusable data assets and components that support scale and interoperability.
  • Collaborate with stakeholders, external partners, data scientists, and peer data leaders.

Requirements

  • B.S., M.S., or PhD in Computer Science or an equivalent background.
  • 10+ years of experience in data engineering, data platforms, or a related domain.
  • 2+ years of hands-on management experience, including hiring, performance management, coaching, and mentoring.
  • Strong communication, leadership, system design, and execution skills.
  • Experience with Python or Kotlin, SQL, Snowflake, Databricks, Spark, Trino, or Pinot.
  • Experience with AWS, Airflow, Kafka, Spark Streaming, data lake formats, Delta Lake, Apache Iceberg, Glue Catalog, and S3; familiarity with AI solutions in data is expected.

Nice to have

  • Experience building systems that directly power online applications.
  • Exposure to CockroachDB, Cassandra, and PostgreSQL.

Culture & Benefits

  • Fast-moving environment focused on continuous improvement and engineering excellence.
  • Opportunity to collaborate across data engineering, data science, product, and business functions.
  • Responsibility for building reliable and flexible solutions at enterprise scale.

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