Senior Data Engineer

Toronto, ON
On-site
Posted Oct 9, 2026
1 position

$90,000–$120,000 / year

Opens LinkedIn

Employment type: Full-time
Experience level: Senior · 6+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, and operate scalable Azure data pipelines and platform integrations, while providing production support, incident resolution, monitoring, and continuous platform improvement. Lead technical delivery and engineering standards, coordinate offshore teams, and contribute to automation, CI/CD, infrastructure-as-code, and platform optimization.

Job details

We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform operations, and technical leadership, ensuring reliable, scalable, and high-performing data solutions across the enterprise. Key Responsibilities Design, build, and support scalable data pipelines using Azure Databricks, PySpark, Python, and SQL. Develop and maintain data ingestion, transformation, and orchestration solutions across the Azure data ecosystem. Provide production support, incident resolution, root cause analysis, and platform monitoring. Implement integrations with Braze and other downstream data consumers. Drive platform reliability through automation, observability, CI/CD, and operational best practices. Partner with architects, product teams, and stakeholders to deliver data platform enhancements. Lead technical delivery, code reviews, and engineering standards while coordinating offshore development teams. Contribute to cloud infrastructure, Infrastructure-as-Code, and platform optimization initiatives. Required Skills & Experience 6+ years of experience in Data Engineering and Data Platform delivery. Strong expertise in: Azure Databricks PySpark / Apache Spark Python SQL Azure Data Lake Storage (ADLS Gen2) Azure Data Factory (ADF) Azure DevOps and CI/CD Experience supporting enterprise-scale data platforms in production environments. Strong troubleshooting, performance tuning, and operational support skills. Experience leading technical delivery and collaborating with offshore teams. Excellent communication and stakeholder management skills. Preferred Qualifications Terraform or Bicep (Infrastructure as Code). Azure platform engineering and cloud infrastructure experience. Monitoring and observability tools (Azure Monitor, Log Analytics, Splunk, Dynatrace, etc.). Production release management and platform operations experience. Experience with Braze, Martech, or Customer Data Platforms (CDP). Nice to Have Event-driven and streaming architectures. Azure Event Hubs, Kafka, or similar technologies. Data quality, governance, and observability frameworks. Customer engagement, marketing activation, or financial services domain experience.

What you’ll do

Requirements

Requires 6+ years of data engineering and data platform delivery experience, with strong expertise in Azure Databricks, Spark/PySpark, Python, SQL, ADLS Gen2, ADF, and Azure DevOps/CI/CD. Candidates should have enterprise production support and troubleshooting experience, along with technical leadership, offshore team collaboration, and strong communication skills.