Lead Data Engineer
Relativity
- Springfield, Missouri, United States
- Springfield, Missouri, United States
Über
Posting Type Hybrid
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 $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.
Required Skills
Documentations
Innovation
Leadership
Problem Solving
Process Improvements
Project Management
Quality Assurance (QA)
Risk Management
Technical Knowledge
Troubleshooting
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Sprachkenntnisse
- English
Hinweis für Nutzer
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