Lead Data Engineer

Lead Data Engineer page is loaded## Lead Data Engineer remote type:
Engineering locations:
Illinois time type:
Full time posted on:
Posted Yesterday job requisition :
25-0656
*** Posting Type
*** Hyrbid
* ** Job Overview
*** Relativity powers the world’s most critical legal, compliance, and investigative work. From corporate compliance to human rights, our platform must preserve trust in global investigations while handling petabytes of sensitive evidence. Our team builds the distributed data backbone that powers AI-assisted evidence analysis across billions of documents daily. We are at the forefront of Legal Data Intelligence, building technology that helps organizations Organize Data, Discover Truth, and Act on It.
As a Lead Data Engineer, you are the technical leader for your team: 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.
• Contribute reusable patterns, frameworks, and best practices that strengthen our Azure cloud-native data platform.

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.
• 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.
• Strong communication skills and the ability to explain complex data concepts to diverse audiences.
• A commitment to building systems that create clarity and insight through data, not just moving data from point A to point

B.

Preferred Experience
• Expertise with Databricks and/or Azure-based data architectures.
• Background building systems that support ML workflows or AI-driven applications.
• Experience leading modernization or migration of large-scale data platforms.
• Strong understanding of observability and cost-optimization strategies for cloud based data systems.
** Relativity is committed to competitive, fair, and equitable compensation practices.
** This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:$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.
** Suggested

Skills:

** Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting We’re solving big data challenges in the legal tech industry, and we’re always looking for more people to join us on the journey. At Relativity, you'll learn cross-functional skills to grow your career and have the chance to make a big impact on our customers, our industry, and our communities.

We admire and value our employees, so it’s no surprise that our hiring process is designed to help us really get to know you – and for you to get to know us, too.
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