// 01 — The Role

Lead Distributed Data
Platform Engineer

You'll lead a small team of data platform engineers building and maintaining the internal data infrastructure that powers analytics across Relativity. That means owning architectural decisions, getting your hands dirty with the tech, and making sure the people around you grow.

// 02 — Day to Day

What You'll Do

• Lead and mentor a team of data platform engineers — not just manage them

• Design and evolve the data platform architecture powering analytics at scale

• Build and maintain distributed data pipelines and infrastructure

• Own decisions across data ingestion, transformation, storage and delivery

• Collaborate with product and engineering to shape data strategy

• Review code, set standards, and drive engineering excellence across the team

// 03 — Tech Stack

What You'll Work With

// 04 — Requirements

What You Bring

• 5+ years of experience in data engineering or distributed systems

• Deep hands-on experience with Spark, Kafka, or similar distributed processing tools

• Strong Python skills — you write production-grade code, not just scripts

• Experience with cloud data infrastructure (AWS, GCP, or Azure)

• Track record of technical leadership — mentoring engineers, driving decisions

• Comfortable with ambiguity and able to move from whiteboard to production

// 05 — Compensation

What You Get

// 06 — Apply

Ready to build something
that actually matters?

If you want to lead, code, architect, and grow — this is your seat at the table.