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Lead Distributed Data Platform Engineer

232 000 - 348 000PLN
Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Lead Distributed Data Platform Engineer (Data Science ML): Lead a team designing and maintaining distributed data platforms integrating lakehouse technologies and cloud-native services with an accent on architectural decisions, scalability, and governance. Focus on mentoring engineers, driving technical leadership, and ensuring secure, reliable, and scalable data solutions.

Location: Remote with offices in Kraków, Katowice, Bydgoszcz, Bialystok, Wroclaw, Poland

Salary: 232000–348000 PLN

Company

hirify.global builds advanced data platforms enabling enterprise-scale analytics and insights with a focus on innovation and data security.

What you will do

  • Lead and mentor a team of data platform engineers promoting collaboration and growth.
  • Drive architectural decisions for distributed systems and lakehouse platforms using Spark, Delta Lake, and Iceberg.
  • Oversee design and implementation of scalable data pipelines and analytics workflows.
  • Ensure software engineering best practices including CI/CD and automated testing.
  • Collaborate with stakeholders to align technical solutions with business objectives.
  • Champion governance, observability, and compliance frameworks across data platforms.

Requirements

  • Remote role with presence in Poland offices (Kraków, Katowice, Bydgoszcz, Bialystok, Wroclaw)
  • Proven experience leading technical teams in data engineering or platform development
  • Strong programming skills in Python and SQL; hands-on experience with Apache Spark.
  • Expertise in Delta Lake and/or Apache Iceberg for lakehouse architecture.
  • Familiarity with dbt, Databricks, Snowflake, Kubernetes, Docker, and infrastructure-as-code tools.
  • Strong communication and stakeholder management skills.

Nice to have

  • Experience with event-driven architectures and advanced analytics platforms.
  • Knowledge of Java, Scala, or Rust.
  • Exposure to service mesh and advanced orchestration patterns.

Culture & Benefits

  • Comprehensive health, dental, and vision plans.
  • Parental leave for primary and secondary caregivers.
  • Flexible work arrangements and unlimited time off.
  • Two week-long company breaks per year.
  • Long-term incentive and training investment programs.

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