Senior Data Engineer
Core
Anchor the data lifecycle of high-volume spatial event data, translating it into well-modeled, hyper-performant warehouse layers and clean semantic models for LLM-driven agents.
Role type
Senior Data Engineer (Spatial Intelligence & Semantic Layering)
Builds
Production-grade ELT pipelines, semantic abstraction layers, and data pipeline integration blueprints for Professional Services.
Domain
Transportation infrastructure, smart cities, and industrial sites using 3D LiDAR and spatial analytics.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ELT pipeline design, Databricks schema architecture, AWS environment management, Cube.js semantic layering, LLM agent data structuring, advanced AI coding frameworks, automated pipeline unit testing, streaming data processing, telemetry handling, zero-data-loss architecture, ultra-low latency optimization.
Preferred skills
Experience with agentic workflows, feature delivery automation, semantic data modeling for AI agents.
Technologies
Databricks, AWS, Cube.js, 3D LiDAR, streaming data platforms, AI coding frameworks.
Responsibilities
Design and maintain production-grade ELT pipelines for streaming spatial data and telemetry. Architect and manage schemas within Databricks and AWS environments. Build and optimize the central semantic abstraction layer using Cube.js. Collaborate with internal teams to package reliable data pipeline integration blueprints for Professional Services delivery squads.
Seniority
Senior, hands-on IC