Data Engineer – Build Scalable Azure Data Platform

About the role

The Data Engineer will design, develop, and maintain the data platform that powers Trilon’s enterprise analytics, automation, and AI capabilities. Reporting to the Vice President of Data & DevOps, this role works remotely to ensure reliable, high‑quality data for business intelligence and innovation.

Key responsibilities

• Serve as the primary owner and technical steward of the Trilon enterprise data platform.
• Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Synapse, and Microsoft Fabric.
• Build and manage data transformations, orchestration, and automation across structured, semi‑structured, and unstructured sources.
• Implement monitoring and alerting to proactively detect and resolve pipeline or data‑quality issues.
• Develop and maintain integrations between Trilon’s enterprise systems, cloud services, and acquired partner environments.
• Design and maintain a unified, scalable data model that harmonizes data across business systems.
• Build secure, governed Power BI semantic models optimized for analytics and self‑service reporting.
• Collaborate with business analysts, AI teams, and cybersecurity to ensure data meets reporting, AI, and compliance requirements.
• Support data cataloging, discovery, and classification initiatives using Microsoft Purview or equivalent tools.

Required profile

• Proven experience designing, developing, and maintaining scalable data integrations and transformations.
• Ability to work independently while collaborating with cross‑functional teams.

Required skills

• Azure Data Factory
• Azure Synapse
• Microsoft Fabric
• Power BI semantic modeling
• Microsoft Purview (or equivalent data cataloging tools)
• Data pipeline orchestration and automation
• Data quality validation and governance