Lead Distributed Data Platform Engineer

Relativity; Białystok; Remote; PLN 232,000 - 348,000; Full time

Job summary

A tech company is seeking a Tech/Team Lead to oversee a specialized team focused on data analytics and reporting. You will guide engineering efforts in designing and maintaining data platforms while ensuring adherence to best practices. This role emphasizes leadership, collaboration, and innovation, requiring expertise in modern data technologies and effective communication with stakeholders. Compensation includes a competitive salary range of 232,000 to 348,000 PLN and various benefits including flexible work arrangements.

Benefits

Comprehensive health, dental, and vision plans

Parental leave for primary and secondary caregivers

Flexible work arrangements

Two week-long company breaks per year

Unlimited time off

Long-term incentive program

Training investment program

Qualifications

• Proven experience leading technical teams in data engineering or platform development.
• Strong programming skills in Python and SQL; hands‑on experience with Apache Spark for distributed data processing.
• Expertise in Delta Lake and/or Apache Iceberg for lakehouse architecture.

Responsibilities

• Lead and mentor a team of data platform engineers.
• Drive architectural decisions for distributed systems and lakehouse platforms.
• Oversee design and implementation of scalable data pipelines and analytics workflows.

Skills

Leading technical teams in data engineering

Programming in Python

Programming in SQL

Hands-on with Apache Spark

Understanding of software engineering principles

Communication and stakeholder management

Performance tuning

Familiarity with dbt

Familiarity with Databricks

Familiarity with Snowflake

Tools

Kubernetes

Docker

Infrastructure-as-code tools

Job description

Posting Type

Remote

Job Overview

We are building a specialized team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As a Tech/Team Lead, you will combine deep technical expertise with leadership skills to guide a team in designing and maintaining data platforms that integrate modern lakehouse technologies, distributed compute frameworks, and cloud-native services to support diverse analytical use cases and enterprise-scale insights.

You will lead architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable solutions. This role emphasizes technical leadership, collaboration, and governance best practices while fostering a culture of innovation and continuous improvement.

Relativity’s scale and breadth provide significant opportunities for rich data exploration and insights. Our data infrastructure ensures that vast datasets remain accessible, secure, and compliant, while enabling innovation across the organization. We are making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics.

Your Role in Action

• Lead and mentor a team of data platform engineers, promoting collaboration, knowledge sharing, and professional 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 adherence to software engineering best practices: clean code, modular design, CI/CD, automated testing, and code reviews.
• Collaborate with stakeholders to align technical solutions with business objectives and analytics needs.
• Champion governance, observability, and compliance frameworks across all data platforms.
• Manage performance tuning, scalability strategies, and cost optimization in cloud-native environments.
• Facilitate architecture reviews and contribute to design decisions for fault-tolerant, future-ready systems.
• Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery.

Core Requirements

• Proven experience leading technical teams in data engineering or platform development.
• Strong programming skills in Python and SQL; hands‑on experience with Apache Spark for distributed data processing.
• Expertise in Delta Lake and/or Apache Iceberg for lakehouse architecture.
• Familiarity with dbt, Databricks, and Snowflake for analytics workflows.
• Solid understanding of software engineering principles, CI/CD, and automated testing.
• Familiarity with Kubernetes, Docker, and infrastructure-as-code tools.
• Understanding of performance tuning, scalability strategies, and cost optimization for large‑scale systems.
• Strong communication and stakeholder management skills.
• Ability to drive architectural decisions and mentor engineers.

Nice to Have

• Exposure to event‑driven architectures and advanced analytics platforms.
• Experience enabling self‑service analytics for internal stakeholders.
• Experience in any of the following languages: Java, Scala, Rust.
• Exposure to service mesh and advanced orchestration patterns.

Benefit Highlights

• Comprehensive health, dental, and vision plans
• Parental leave for primary and secondary caregivers
• Flexible work arrangements
• Two week‑long company breaks per year
• Unlimited time off
• Long‑term incentive program
• Training investment program

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long‑term incentives.

The expected salary range for this role is between the following values:

232 000 and 348 000 PLN

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Suggested Skills

• Documentation
• Innovation
• Leadership
• Problem Solving
• Process Improvements
• Project Management
• Quality Assurance (QA)
• Risk Management
• Technical Knowledge
• Troubleshooting