Lead Distributed Data Platform Engineer

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. Job Description and Requirements 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 lakehous [... source excerpt omitted ...] nicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery. Participate in on-call rotations as part of a team responsibility. 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, Dock [... source excerpt omitted ...] n following values: 270 000 and 406 000PLN 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: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting