Principal Engineer - Platform Enablement

13 hours ago

Windsor, CanadaStaff+

Responsibilities

Define and evolve the Field Platform architecture, patterns, guardrails, and technology standards.
Lead platform consolidation and simplification to reduce duplication, technical debt, maintenance costs, and operational complexity.
Drive cross-domain technical decisions covering data models, integrations, UX principles, and field workflows.
Deliver digital capabilities for supply chain, quoting, workflow optimisation, knowledge management, safety, compliance, customer experience, and productivity.
Establish engineering excellence through architecture standards, automation, observability, testing, release processes, telemetry, performance tuning, and secure-by-design practices.
Improve platform performance, reliability, failover behavior, caching, offline capability, and user trust in challenging field conditions.
Shape security, SRE, quality, resilience, and platform-wide capabilities across engineering teams.
Use automation, data, telemetry, profiling, monitoring, and AI-assisted diagnostics to improve delivery and reliability while retaining human accountability.
Lead through influence across squads, coach engineers and analysts, create playbooks and guardrails, and run knowledge-sharing communities.
Partner with engineering leadership, product managers, field operations subject-matter experts, and external tooling providers.

Principal-level technical leadership in complex, cross-domain software platform environments is required by the scope of the role.
Ability to design scalable architecture across mobile applications, backend APIs, orchestration layers, and field operational workflows.
Experience balancing near-term delivery with long-term architectural sustainability and solving ambiguous problems with incomplete data.
Experience establishing engineering standards covering security, testing, observability, reliability, performance, release readiness, and integration patterns.
Ability to lead through influence and expertise without direct line management, coach engineers, and drive adoption across squads.
Experience using telemetry, profiling, error tracking, synthetic monitoring, automation, and AI-assisted diagnostics to inform technical decisions.
Experience designing, integrating, and operating AI-enabled enterprise solutions, including prompt-driven workflows, retrieval-augmented systems, and AI agents.
Understanding of field workforce operations such as installation, service, or repair, plus related compliance, safety, and regulatory requirements.
Experience working in product-led organizations and cross-functional teams.
Ability to prepare and manage data for AI workflows and oversee responsible AI feature lifecycles from experimentation through continuous improvement.

Flexible total rewards designed to support employees and their families financially, physically, and emotionally.
Opportunities for growth, knowledge sharing, communities of practice, and professional development.
Purpose-driven work supporting sustainability and the transition to a greener energy system.

Datadog

10,000+ employees