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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. What’s In It for You: Our employees are the driving force behind our achievements. We are unwavering in our commitment to not only recognise your contributions but also to empower you to excel in every aspect of your life. Here's a glimpse of why Northland is the place where you'll truly thrive: Thoughtful benefits – A competitive RRSP matching scheme of 8%; extended health, dental and vision benefits for yourself and your immediate family from day one; paid parental leave; Accident and Life Insurance and disability benefits are just a few of the benefits you’ll be able to access. Wellbeing first – Staying true to our taking care of ourselves and each other value, you will have access to our global Wellness Program and Employee Assistance Program, including access to mental health resources. Floating days and Birthdays off – As part of our commitment to promoting a healthy work-life balance, you will get your birthday off so you can celebrate however you choose! You will also receive three additional days off annually to observe any other events that are important to you. 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 AI‑enabled tools to help identify applications that meet job‑related criteria. All applications are reviewed and decisions are made by people. This is a new position.

Ce que vous ferez

The Data Architect/Engineer will design, build, and maintain a scalable Azure-based enterprise data platform to support analytics, reporting, and AI initiatives. They will also establish data governance standards and collaborate with business stakeholders to deliver trusted, high-quality data solutions.

Exigences

Candidates must have a bachelor's degree in a relevant field and at least 7 years of experience in enterprise data platforms, including 5 years with Azure technologies. Strong proficiency in SQL, Python, and data modeling is required, along with experience in ETL/ELT development and data governance.

Avantages

• RRSP matching scheme • Extended health benefits • Dental benefits • Vision benefits • Paid parental leave • Accident insurance • Life insurance • Disability benefits • Wellness program • Employee assistance program • Floating days • Birthday off

Compétences indiquées

• Power BI · Souhaitée
• SQL · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Azure Data Factory
• Azure Synapse Analytics
• Azure SQL
• Azure Data Lake Storage
• Azure DevOps
• Power BI
• Microsoft Fabric
• SQL
• Python
• Data modeling
• ETL/ELT
• Data governance
• Master data management
• Data architecture
• Cloud infrastructure
• Stakeholder management
• Microsoft Azure Certification
• Data Lakes
• Influencing Skills
• Azure Security
• Pipelines
• Business Objectives
• Energy System Transition
• Data Strategy
• Technical Leadership
• Data-Driven Decision Making
• Microsoft Excel
• Artificial Intelligence
• Data Analysis
• Automation
• Microsoft Azure
• Mental Health
• Business Intelligence
• Customer Relationship Management
• Communication
• Regulatory Compliance
• Computer Science
• Information Systems
• Data Architecture
• Data Engineering
• Data Governance
• Extract Transform Load (ETL)
• Data Modeling
• Data Quality
• Data Warehousing
• Disaster Recovery
• Human Resources Information System (HRIS)
• Employee Assistance Programs
• Enterprise Resource Planning
• Finance

Domaines d’emploi

• Data & Analytics
• Technology
• Energy
• Engineering
• Software
• Data Engineer/Architect
• Data Engineer
• Software Developers
• Database Administrators