Senior Data Platform Engineer – Databricks & Pipelines

MaintainX; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Job summary

MaintainX is a leading data platform driving ML and analytics for industrial and frontline environments. We seek senior data engineers to build and maintain the data platform powering the product and internal BI, including pipelines, governance, and tooling for developers and data consumers.

You will contribute across the data stack—from ingestion to deployment—while ensuring reliability and security in a rapidly growing team.

Qualifications

• Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA, SOC2, FedRAMP).
• Experience in backend software development focusing on application data storage and event-driven architectures.
• Experience building and operating vector databases and RAG.
• Advanced English required to lead platform engineering managers across teams and align with executives outside Quebec.

Responsibilities

• Build and evolve the data platform based on Databricks for product features, ML, and internal reporting.
• Design and develop scalable data ingestion and transformation pipelines.
• Model raw data into clean, reliable data sets powering product features and internal analytics.
• Create platform abstractions and tools to improve developer experience for data producers and consumers.
• Improve observability, testing, and monitoring to ensure reliability and performance.
• Manage governance, security, compliance, and data access controls.
• Contribute to platform standards and architecture as it evolves.
• Collaborate with development, ML, product, and analytics teams to support data use cases.

Skills

Databricks

Backend development

Data governance

Observability

Streaming pipelines

Tools

Vector databases

RAG

Job description

MaintainX is a leading data platform driving ML and analytics for industrial and frontline environments. We seek senior data engineers to build and maintain the data platform powering the product and internal BI, including pipelines, governance, and tooling for developers and data consumers.

You will contribute across the data stack—from ingestion to deployment—while ensuring reliability and security in a rapidly growing team.