Lead Data Engineer
Apptad
- 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.
Vacancy posted 2 days ago
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