part of the PCL Family of Companies (PCL), we don't just build projects -
- we build opportunities, careers and communities. We are 100% employee-owned, every employee has a stake in our success, and that shared commitment drives how we work, grow and lead in the construction industry. We're a team of builders who care deeply about what we create and who we build with. We are not only shaping the future of construction, we are also committed to shaping the future of your career. As an Solution Architect for PCL Constructors Inc. in Edmonton, Alberta (Corporate), you'll have the opportunity to design and deliver scalable enterprise data, analytics and AI capabilities. This hands-on role will build trusted data products, shared platforms and reusable patterns that enable teams to deliver AI solutions across PCL. Employee ownership opportunities that build long-term value Annual discretionary performance bonuses RRSP, TFSA, Pension Contribution Options Flexible medical, dental and vision benefits Prescription drug coverage and virtual care services Life, AD&D; and disability insurance Paid parental leave and family care support Health and lifestyle spending account options Mental health and wellness support, including Employee Assistance Programs Access to world-class training through PCL's College of Construction and professional development courses Here's how an Solution Architect for PCL Constructors Inc. within Edmonton NAHQ contributes to our team: Design, develop and maintain enterprise data platforms, reusable data products and trusted, AI-ready datasets. Define and implement scalable data architectures, data models, storage patterns and integration approaches across cloud-based platforms and PCL applications. Build and optimize ETL and ELT pipelines that ingest, transform,



validate and publish data from enterprise applications, APIs, files and other sources. Develop automated data processing and orchestration capabilities for batch and near-real-time workloads, with appropriate monitoring, logging and error handling. Profile data, establish data-quality rules and implement automated validation, reconciliation and exception-handling processes. Partner with application teams and business stakeholders to understand source data, clarify business definitions and prepare data for analytics, Copilot and AI-agent use cases. Design curated data layers, semantic structures and reusable interfaces that make enterprise data consistent, discoverable and fit for downstream use. Identify and resolve data lineage, integrity, performance and reliability issues across source systems, transformation processes and consuming solutions. Develop shared platform capabilities and reusable patterns that support solution teams building analytics, Copilot and agent experiences. Apply DevOps and CI/CD practices to data pipelines, schemas, platform configuration and deployment processes using GitHub, Azure DevOps or equivalent tools. Create technical documentation, architecture diagrams, data mappings, test cases and operational support procedures. Support the deployment, monitoring and operationalization of enterprise data and AI capabilities,



including production troubleshooting and continuous improvement. Ensure platform and data work aligns with governance, security, privacy, architecture and development standards. Contribute to technical standards, templates and repeatable delivery patterns for enterprise data and AI solutions. Estimate technical effort, plan assigned work and participate in Agile delivery activities. Mentor team members on modern data platforms, architecture patterns, data-quality practices and delivery methods. Research, evaluate and recommend tools and practices that strengthen PCL’s enterprise data and AI platform capabilities. Postsecondary degree or diploma in computer science, information technology, software development or a related discipline. ~3+ years of progressive experience in a related field ~ Enterprise data architecture, dimensional and relational data modeling and data platform design ~ SQL development, query optimization and relational database concepts ~ Building ETL or ELT pipelines using cloud-based data and analytics platforms ~ Data integration using APIs, files, databases and enterprise application sources ~ Data transformation, orchestration, scheduling, monitoring and production support ~ Data profiling, validation, reconciliation and remediation of data-quality issues Ability to translate business requirements and source-system constraints into scalable, supportable data solutions. Understanding of software development lifecycle practices, source control, automated testing and CI/CD. Effective communication and collaboration skills, including the ability to explain data structures, dependencies and trade-offs to technical and business audiences. Solid analytical, troubleshooting and problem-solving abil

📌 Solutions architect (Winnipeg)
🏢 PCL Construction
📍 Winnipeg