Azure Data Integration Engineer Jobs in Toronto, ON

Who We Are:
At Northland, we're enablers of change, united by our journey to transform the energy sector into the foundation for a sustainable future.

Since our inception, we've been early movers in the energy industry, adopting new initiatives that pave the way for communities across the globe and helping forge their path towards a carbon-neutral landscape.

We're a different kind of independent power producer. As developers, owners and operators who are at the forefront of the energy transition, we're uniquely positioned to leave a lasting impact in the regions where we operate. We've expanded our business across Canada, the United States, Latin America, Europe and Asia to become a global leader, all by bringing together industry experts to find solutions with an entrepreneurial mindset.

While our work powers communities across the globe, Northland is powered by our people.

What You'll Do:
The Data Architect / Data Engineer is responsible for designing, developing, and managing Northland Power's enterprise data platform. This role will own the organization's Azure-based data warehouse environment, ensuring data from enterprise systems is integrated, standardized, secure, and accessible for analytics, reporting, AI, and business intelligence.
The successful candidate will lead the design of scalable data architectures, build and maintain data pipelines, normalize and model enterprise data, and deliver self-service data marts that empower business users with trusted, high-quality information. This role works closely with IT, business stakeholders, analytics teams, and AI developers to establish a modern enterprise data foundation.

Key Responsibilities

• Own and evolve the enterprise data architecture strategy, roadmap, and standards aligned with business objectives.
• Design, build, and maintain scalable Azure-based data warehouse, lakehouse, and data platform solutions.
• Develop enterprise data models and semantic layers that support reporting, analytics, and AI initiatives.
• Design, build, and optimize ETL/ELT pipelines integrating data from ERP, HRIS, Finance, SCADA, CRM, GIS, and other enterprise systems.
• Ensure data quality through validation, cleansing, enrichment, monitoring, and master data management practices.
• Deliver trusted, business-ready data marts and datasets that enable self-service analytics and Power BI reporting.
• Establish and maintain data governance capabilities, including metadata management, lineage, cataloging, security, and compliance.
• Administer and optimize Azure data services, ensuring platform performance, scalability, reliability, disaster recovery, and cost efficiency.
• Partner with business and technology teams to translate requirements into scalable, secure, and governed data solutions.
• Provide technical leadership and mentorship, promoting data engineering best practices across the organization.

Who You Are:

• Collaborative: Builds strong relationships and works effectively across teams to drive shared outcomes.
• Problem Solver: Applies technical expertise to solve complex business and data challenges.
• Inclusive: Promotes broad adoption of data and analytics by enabling accessible, self-service solutions.
• Change Champion: Guides stakeholders through change and helps maximize the value of data-driven decision-making.
• Emotionally Intelligent: Communicates effectively with users of all technical abilities and fosters engagement.
• Strategic Thinker: Aligns data initiatives with organizational maturity, priorities, and long-term business goals.

Qualifications and Experience

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field; Azure certifications are an asset.
• 7+ years of experience designing and delivering enterprise data platforms, with 5+ years working with Azure data technologies.
• Proven experience building and supporting enterprise data warehouses, lakehouses, data marts, and BI/analytics environments.
• Strong expertise with Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure Data Lake Storage, Azure DevOps, Power BI, and Microsoft Fabric.
• Advanced SQL and Python skills for data engineering, automation, and performance optimization.
• Deep knowledge of ETL/ELT development, data modeling, orchestration, transformation, and enterprise system integrations.
• Experience with data governance, data quality, master data management, metadata, lineage, and regulatory compliance.
• Knowledge of Azure security, RBAC, backup, disaster recovery, and enterprise data platform administration.
• Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate technical concepts for business audiences.
• Demonstrated ability to influence data strategy, drive enterprise standards, and support adoption of modern data, analytics, and AI capabilities.

We hire talented and passionate people from different backgrounds. If you're excited about a role but your past experience doesn't align perfectly with this job description, we still encourage you to apply. Learn more about our diversity, inclusion and belonging commitments.

#LI-SM1 #LI-ONSITE

Pay Range:

$100,000.00 - $125,000.00

This document is a guide. The duties, responsibilities, and requirements of the jobs as described herein are not inclusive and are subject to change.

Northland Power is an equal opportunity employer and we are committed to creating a fair, inclusive and accessible environment. As part of our commitment we work to ensure our application process is accessible to all candidates. If you require special assistance or accommodation during the hiring process, please notify a member of the HR Department.

We use AIenabled tools to help identify applications that meet jobrelated criteria. All applications are reviewed and decisions are made by people.

This is a new position.