Lead Distributed Data Platform Engineer

WhyHireWrong?

Lead Distributed Data Platform Engineer at Relativity building and maintaining internal data infrastructure. Lead a small team in designing and coding analytics pipelines.

Posted 5/14/2026full-timeCracow • 🇵🇱 PolandSenior💰 $180,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKafkaPythonSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Equity RSUs Included

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdistributed systemsSparkKafkaPythoncloud data infrastructureAWSGCPAzuredata pipelines

Soft Skills

leadershipmentoringcollaborationdecision makingengineering excellenceadaptabilityproblem solving