Data Solutions Manager

About the RoleOwn end-to-end technical delivery of strategic customer data programs and build Lightwheel's Data Delivery Platform into scalable, reusable infrastructure.ResponsibilitiesBuild the Data Delivery Platform: Own specs/schema management, validation, adapters, conversion, packaging, cloud transfer, SDK/API integration, retries/checkpointing, observability, and cost optimization. Make new customer onboarding a spec + adapter, not a bespoke process.Own Strategic Deliveries End-to-End: Translate requirements into versioned specs, define acceptance criteria, establish validation gates, manage throughput/risk/ETA, and ensure customer ingestion and reconciliation. Success = customer-accepted data hours.Drive Root-Cause Analysis: Diagnose bottlenecks across SDK/API, schema/serialization, conversion, cloud throughput, rate limits, retries, customer ingestion, compute/storage, and cost. Turn symptoms into quantified bottlenecks and trade-offs.Engineer for 100K–1M+ Hour Programs: Own capacity planning across data-hours/day, compute, storage, bandwidth, conversion/API throughput, rate limits, failure rates, and infrastructure cost.Build the Operating System and Team: Standardize delivery gates, state definitions, and change control. Lead the Data Delivery Engineering function over time.Qualifications3+ years in software engineering, data infrastructure, distributed systems, ML/robotics infrastructure, or customer engineering.Strong hands-on engineering background (backend, data, infrastructure, or similar).Experience designing or operating production data platforms or large-scale pipelines.Proficient in Python, APIs/SDKs, AWS/GCP, S3/GCS, Kubernetes, workflow orchestration, schema/lineage/versioning, retries/idempotency, and observability.Ability to diagnose performance bottlenecks across compute, storage, network, and third-party APIs.Experience working directly with external technical customers.Strong communication and cross-functional leadership.Fluent in English and Mandarin.Preferred SkillsRobotics, autonomous vehicles, embodied AI, or Physical AI experience.Large-scale video/sensor/multimodal or ML training datasets; familiarity with formats like LeRobot, MCAP, ROS bags.TB/PB-scale data ingestion; cloud transfer and egress optimization.Forward-deployed engineering or enterprise data integration experience.Experience building a platform or infrastructure function from an early stage.Equal Opportunity StatementLightwheel is committed to diversity and inclusivity in the workplace and encourages applications from all qualified individuals.