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.