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Data Engineering Solutions Architect - Technology Services Group

Optimussbr
CompanyOptimussbr
CategoryEngineering
LocationToronto
RemoteHybrid
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted15 Jul 2026
Last verified31 Jul 2026
SourceEmployer career page (lever)
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Description
Continued growth has created an exciting opportunity for a Data Engineering Solutions Architect (Manager/Senior Manager Level) to join our Technology Services Group.   In this role, you will design and build modern data solutions that combine robust data engineering practices with strong data architecture and modeling discipline. You will collaborate with a team of high-performing professionals and entrepreneurial thinkers who share a passion for helping clients transform how they use data. You are ambitious, adaptable, and energized by solving complex problems in fast-paced environments. You’re comfortable engaging directly with clients, wearing multiple hats, and navigating shifting priorities while delivering high-quality technical solutions.   About Us Optimus SBR is a leading management consulting firm and award-winning workplace where we help organizations get done what isn’t. Our team of committed consultants takes swift action to deliver innovative, impactful results. As the largest independently owned Canadian management consulting firm, we are a place where people and culture come first. Our success is driven by attracting individuals who are insatiably Curious, Entrepreneurial Thinkers, Authentic, and Bold. Our Awards and Recognitions: Best Workplaces™ in Canada National List 2026 Best Workplaces™ with the Most Trusted Executive Team 2026 Best Workplaces™ for Young Talent 2026 Best Workplaces™ for Women 2026 Best Workplaces™ in Professional Services 2025 Globe and Mail – Canada's Top Growing Companies 2025 Waterstone Human Capital - Canada’s Most Admired Corporate Cultures™ 2025 Culture is Everything. Period. That’s why we’ve been consistently rated one of the best places to work in North America – and are one of the fastest growing. As a firm that was built on culture, we value our people and their growth. Each of us embody the entrepreneurial spirit and have something unique to contribute to the fabric of our organization. From employee-championed committees to celebratory events and learning paths, these are just a few of the ways we cultivate a positive and engaging work environment. What’s in It for You? Growth Opportunities: Build your career through challenging, impactful projects and continuous learning. Diverse Workplace: Collaborate with a team of professionals from unique backgrounds, fostering innovation. Flexibility and Autonomy: Enjoy the freedom to take ownership of your work and drive meaningful results. Leadership Development: Develop your skills through mentorship and career progression opportunities. Responsibilities: Data Architecture & Modeling • Analyze business and technical requirements to design scalable, efficient data architectures. • Build logical and physical data models using industry-standard tools such as Erwin (or equivalent). • Design high-quality Entity Relationship (ER) diagrams following best practices in normalization, naming conventions, metadata, and data governance. • Reverse engineer existing databases and schemas into ERDs, ensuring accuracy, traceability, and clarity. • Manage schema lifecycle and change control, including versioning, impact assessment, and controlled deployment across environments. • Translate source system structures into consolidated, analytics-ready data models for data warehouses and marts. Data Engineering & ETL/ELT Development • Design and build end-to-end data pipelines using both low-code/no-code and code-based tools, including SSIS, Azure Data Factory (ADF), Alteryx, Power Automate, and related technologies. • Develop and optimize data ingestion, transformation, and integration workflows across diverse data sources. • Implement ETL/ELT best practices to ensure reliability, accuracy, scalability, and performance. • Support the creation of data warehouses, data marts, and reusable data assets for analytics, reporting, and visualization. • Troubleshoot pipeline, performance, and data quality issue
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