Relativity

Relativity

Lead Data Engineer

Illinois, USA · full-time

Sponsorship not specified$150k-$224kDetected 55 days ago
Distributed SystemsSnowflakeDatabricksAzureKafkaMachine LearningdbtData EngineeringA/B TestingProject ManagementLeadershipCommunicationProblem Solving

About the role

  • Posting Type Hybrid Job Overview Relativity powers the world's most critical legal, compliance, and investigative work.
  • Experience leading modernization or migration of large-scale data platforms.

Responsibilities

  • hands-on, design focused, and accountable for elevating engineering quality.
  • You'll drive architectural decisions, guide how systems are built, and mentor others to deliver high-performance, cloud-native data systems.
  • You will work across modern data tooling, including Databricks, Kafka, dbt, and Snowflake, to directly support some of the most mission critical legal processes worldwide.
  • Job Description and Requirements What You'll Do Architect, build, and operate distributed data pipelines and services that process massive volumes of structured and unstructured data.
  • Design and deliver scalable, secure, and observable data integration and ETL solutions using dbt to ensure end-to-end data integrity and availability.
  • Partner with AI/ML engineers and data scientists to build data foundations that accelerate model training, experimentation, and production deployment.
  • Drive improvements in data quality, lineage, reliability, and SLAs, shaping engineering standards for your team.
  • Deep understanding of data modeling, ETL/ELT design, and workflow orchestration.
  • Proven ability to lead technical decisions within a team-breaking down complex problems, defining trade-offs, and driving alignment.
  • A commitment to building systems that create clarity and insight through data, not just moving data from point A to point B.

Requirements

  • Strong communication skills and the ability to explain complex data concepts to diverse audiences.
  • What You'll Bring 6+ years of experience in data engineering, backend engineering, or data architecture with substantial work on distributed systems and cloud-first data platforms.
  • Strong understanding of observability and cost-optimization strategies for cloudbased data systems.

Compensation

  • $150,000 and $224,000 The 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.

Benefits

  • This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
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