Lead Distributed Data Platform Engineer

We are building a specialized team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. Relativity is making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics.

• 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.

• 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.
• Participate in on-call rotations as part of a team responsibility.

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