Lead Data Engineer

Senior Engineer

Must Have Technical/Functional Skills • 8+ years of data engineering experience, including technical leadership of complex data platforms or pipelines. • Demonstrated proficiency processing unstructured and multimodal data, including video, images, LiDAR, GNSS, IMU, and telemetry. • Proven experience designing architectures and pipelines for AI training dataset creation at scale. • Advanced Python and SQL skills with hands-on experience in distributed processing and workflow orchestration. • Experience with cloud data platforms, object storage, lakehouse patterns, metadata, lineage, governance, and dataset versioning. • Strong understanding of data quality, observability, performance engineering, and production support.

Roles & Responsibilities • Own the end-to-end architecture for ingestion, transformation, synchronization, validation, and publishing of multimodal sensor datasets. • Define engineering standards, reusable frameworks, data contracts, metadata, lineage, and quality controls. • Lead design reviews and guide engineers on implementation, testing, troubleshooting, and performance optimization. • Partner with AI, perception, annotation, platform, and business stakeholders to prioritize requirements and milestones. • Establish monitoring and operational controls for pipeline reliability, throughput, traceability, and cost. • Lead root-cause analysis and remediation for complex data and pipeline defects. • Maintain architecture documentation, technical roadmaps, delivery risks, and knowledge transfer.

Generic Managerial Skills, If any Technical leadership, work planning, mentoring, stakeholder communication, design governance, risk management, and cross-functional coordination.

Salary Range: $100,000 - $140,000 per year

Location: Dallas, TX