Lead Distributed Data Platform Engineer
Posting Type
Remote
Job Overview
WHO WE ARERelativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.
WHAT WE DO
We are building a specialized team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. This team designs and maintains data platforms powered by modern lakehouse technologies, distributed compute frameworks, and cloud-native services to support enterprise-scale analytics and insights.
ABOUT THE ROLE
As a Tech/Team Lead, you will combine deep technical expertise with leadership skills to guide a team in building and evolving scalable data platforms. You will drive architectural decisions, mentor engineers, and ensure the delivery of secure, reliable, and high-performing solutions. This role emphasizes technical leadership, collaboration, and governance while fostering innovation and continuous improvement across data engineering practices.
Job Description and Requirements
WHAT YOU’LL DO
- Lead and mentor a team of data platform engineers, fostering collaboration, knowledge sharing, and professional growth
- Drive architectural decisions for distributed systems and lakehouse platforms using Spark, Delta Lake, and Iceberg
- Oversee the design and implementation of scalable data pipelines and analytics workflows
- Ensure adherence to software engineering best practices, including 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 across data platforms
- Manage performance tuning, scalability strategies, and cost optimization in cloud-native environments
- Facilitate architecture reviews and contribute to building fault-tolerant, future-ready systems
- Communicate effectively with leadership and cross-functional teams to provide updates and resolve blockers
- Participate in on-call rotations as part of shared team responsibilities
WHAT WE’RE LOOKING FOR
Required
- Proven experience leading technical teams in data engineering or platform development
- Strong programming skills in Python and SQL, with hands-on experience in Apache Spark
- Expertise in Delta Lake and/or Apache Iceberg for lakehouse architectures
- Familiarity with dbt, Databricks, and Snowflake for analytics workflows
- Solid understanding of software engineering principles, CI/CD, and automated testing
- Experience 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
Preferred
- Exposure to event-driven architectures and advanced analytics platforms
- Experience enabling self-service analytics for internal stakeholders
- Experience with additional programming languages such as Java, Scala, or Rust
- Exposure to service mesh and advanced orchestration patterns
WHY WE COULD BE A GREAT FIT
Impactful Mission
- Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
Engineering at Scale
- Work on distributed, cloud-native systems that process large volumes of data.
Cutting-Edge Technology
- Build with AI, cloud platforms, and scalable architectures shaping legal tech.
Growth and Ownership
- Gain experience owning systems end-to-end across cloud and distributed environments.
Collaborative Culture
- Work in a team focused on knowledge sharing and continuous improvement.
Inclusive Environment
- Diverse perspectives create stronger teams and better outcomes.
Compensation and Benefits
- Competitive salary, benefits, DTO, parental leave, and equity program.
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 following values:
270 000 and 406 000PLNThe 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.
Required Skills:
Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting