Sr Data Pipeline Engineer

CRWN.AI•Kelowna, BC

6d•Remote

About The Position

Our core technology is proven; now, we are scaling. We build rugged, sensor-driven systems for high-voltage infrastructure where failure is not an option. We need a Senior Backend & Data Infrastructure Engineer to architect and own the full data backbone of our platform—from edge ingestion to cloud processing to analytics readiness. You will design and build production-grade systems that ingest and process millions of data points from distributed field devices in real time. This role sits at the intersection of backend engineering, cloud infrastructure, and data engineering, ensuring our platform is scalable, secure, and reliable as we move from pilot to full fleet deployment.

Requirements

3+ years of solid experience building backend systems and data infrastructure from the ground up
Proven track record of architecting and scaling systems handling millions of data points
Strong experience with AWS (compute, storage, networking, and data services)
Hands-on experience with Kubernetes and containerized deployments
Deep understanding of distributed systems, data pipelines, and real-time data processing
Strong programming experience in C and/or C++
Experience designing secure systems across infrastructure, data flow, and communications
Experience building backend systems including APIs, provisioning systems, and fleet/device management
Strong understanding of data communications protocols and system-level data flow
Experience in a startup environment or as a founder/operator, with a bias toward ownership and execution

Nice To Haves

Experience working with IoT or sensor-based systems at scale
Familiarity with edge-to-cloud architectures and constrained network environments
Experience with multi-tenant SaaS platforms and data isolation strategies
Background in high-reliability or industrial systems (energy, utilities, telecom, etc.)
Exposure to data platforms supporting machine learning workflows
Experience designing systems for observability, monitoring, and fault tolerance
Must be in Canada

Responsibilities

Architect and build end-to-end data pipelines from edge devices through to cloud storage and analytics layers
Design and maintain scalable cloud infrastructure (AWS) to support high-volume, real-time data ingestion
Own backend systems including APIs, data flow orchestration, and service architecture
Build and manage multi-tenant systems, fleet management tooling, and device provisioning workflows
Implement robust data communication systems across constrained and distributed environments
Design for reliability at scale, handling millions of data points with low latency and high integrity
Lead security architecture across infrastructure, data pipelines, and device communication layers
Deploy and manage containerized services using Kubernetes
Work closely with data scientists to ensure clean, accessible, production-grade data pipelines
Contribute to system design across deployment software, backend services, and infrastructure