Senior Solution Architect – Architecture Strategy Team

Role Overview

• Lead the enterprise data strategy vision and roadmap, partnering closely with cross-functional teams to deliver prioritized initiatives on time.
• Facilitate a multidisciplinary data strategy forum to drive key pillars and practices (i.e. platform and data architecture, data collection and management, data culture).
• Develop and maintain a rolling plan with regular reviews, ensuring clear prioritization of lab-wide target capabilities and alignment with enterprise portfolio goals, IT initiatives, and regulatory requirements.
• Produce and communicate strategic architecture deliverables that guide product-centric teams toward “north star” targets and provide strategic insights to senior leadership (i.e. capability assessments, market scans, target state definitions, roadmaps).
• Participate in architecture peer reviews and serve as a trusted advisor, offering constructive feedback on data-related strategic directions and architecture best practices.

Requirements

• Bachelor’s degree in information technology, Software/Data Engineering, Computer Science, or an equivalent combination of education and experience.
• 10+ years of significant experience in software engineering and/or data engineering assuming multiple roles (i.e. product manager, software developer, technical advisor, etc).
• 5+ years of experience in an application/solution/data architecture role leading large-scale data and/or ML/AI initiatives.
• Proven delivery of data management capabilities (e.g., data architecture, modeling, storage, security, data quality).
• Strong stakeholder engagement skills to facilitate decisions, resolve conflicts, and drive consensus.
• Exceptional communicator who can distill complex strategic and technical concepts into clear, compelling messages for audiences from architects to the C‑suite.
• Experience assessing current state across data domains and identifying gaps and opportunities.
• Passion for defining and landing innovative ways to create, protect, share, and leverage data as an asset to enable better data-driven decisions for our customers.
• Deep understanding of data needs to support AI product development at scale across the full lifecycle (e.g., data profiling, anonymization, observability, ML-Ops).
• Strong knowledge of data management concepts (e.g., platform and data architecture, data collection and security at scale, data culture, AI capabilities, advanced analytics, data governance frameworks).
• Proven expertise in data solution architecture, including reference architectures, conceptual modeling, and roadmap development for data platforms and products.
• Experience evaluating vendors and platforms for architectural fit, security, and value.
• Exposure levering modern data platforms & ecosystems (i.e., AWS, Databricks, Snowflake, etc).
• Bilingual (French & English)
• Need to interact on a regular basis with colleagues across the country.
• No Canadian work experience required however must be eligible to work in Canada.

Tech Stack

• AWS

Benefits

• Flexible work arrangements and a hybrid work model
• Possibility to purchase up to 5 extra days off per year
• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)