Lead Distributed Data Platform Engineer

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 andlakehouseplatforms 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 businessobjectivesand 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 ensuretimelydelivery.
   

• 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.

• Expertisein Delta Lake and/or Apache Iceberg forlakehousearchitecture.

• Familiarity withdbt, 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 ofperformance tuning, scalability strategies, and cost optimization for large-scale systems.

• Strong communicationand stakeholder management skills.

• Ability to drive architectural decisions and mentor engineers.

Nice to Have:

• Exposure toevent-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.

Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.

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

Additional 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.