Data Platform Solution Architect

Data Platform Solution Architect Who We Are: Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers. With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint. We are Quadbridge. See how we’re building tomorrow’s solutions, together. This Role: We are seeking a mid‑level Data Platform Solution Architect to join our consulting and professional services team. This role blends solution architecture, pre‑sales support, and delivery execution, focused on designing and implementing modern data and AI platforms using Microsoft Fabric and Azure Databricks. The successful candidate will work closely with pre-sales & delivery teams to drive assessment‑led engagements, build scalable data platform & AI design and architectures, and accelerate customer outcomes while enabling downstream services and managed services attach. Key Responsibilities Solution Architecture & Design Architect modern Data & AI platforms (Lakehouse/Data Lake) and analytics platforms using: Microsoft Fabric (OneLake, Data Engineering, Data Factory, Data Science, Real‑Time Analytics, Power BI) Azure Databricks (Lakehouse, Delta Lake, Workflows, Unity Catalog) Design secure, scalable, and cost‑optimized Data & AI platform architectures aligned to SMB and mid‑market needs Develop reference architectures and repeatable patterns aligned to Microsoft and Databricks best practices Pre‑Sales & Assessments Support pre‑sales activities including: Technical discovery sessions Architecture whiteboarding Scoping and estimation support for Statements of Work (SOWs) Lead or contribute to Data & AI platform assessments (Data & AI Readiness, Fabric Readiness, Databricks/Lakehouse Assessments) Delivery & Technical Leadership Act as technical lead or senior contributor on data platform implementations Provide design oversight and hands‑on guidance for: Data ingestion pipelines Data source integrations Transformations (SQL, PySpark) Semantic models and analytics layers Ensure delivery aligns to scope, timelines, and architectural standards Governance, Security & Optimization Design data governance, security, and compliance models including: Data access controls Cataloging and lineage Workspace and tenant design Apply FinOps and performance optimization practices to control cloud costs Advise clients on platform lifecycle management and operational readiness Partner & Practice Enablement Stay current with Microsoft Fabric and Databricks roadmaps and partner best practice guidance Contribute to: Internal accelerators Delivery templates Sales enablement content Support partner motions aligned to Microsoft Solution Partner and Databricks designations Required Qualifications Technical Experience 4–6 years of experience in data & AI engineering, analytics, or data platform architecture Hands‑on experience with: Microsoft Fabric or strong Azure Data + Power BI background transitioning to Fabric Strong Copilot/Copilot Studio background Azure Databricks and or Databricks Strong understanding of: Data platform & AI Lakehouse architecture ELT/ETL patterns SQL and PySpark Experience with Azure data services such as: Azure Data Lake Storage Azure Synapse Azure SQL Azure Data Factory Consulting & VAR Experience Experience in a VAR, systems integrator, or consulting environment Communication & Collaboration Strong client‑facing consulting and communication skills Ability to translate technical concepts into business value Experience collaborating with sales, delivery, and pre-sales teams Preferred Certifications Microsoft (preferred) Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Solutions Architect Expert (plus) Databricks Databricks Data Engineer Associate Databricks Data Engineer Professional Databricks Lakehouse Fundamentals Cloud & Architecture (Nice to Have) Azure Fundamentals (AZ‑900) AI‑900 (Azure AI Fundamentals) FinOps Practitioner (or equivalent cost‑management training) What Success Looks Like (First 12 Months) Successfully support and deliver multiple Fabric and Databricks engagements Become a trusted technical advisor to sales and clients Drive assessment‑led opportunities into implementation and managed services Contribute to repeatable offerings that improve delivery margin and velocity Why Quadbridge? Invest in Your Future – Benefit from our RRSP program to help you plan ahead. Grow With Us – Take advantage of ongoing professional training and development opportunities. Comprehensive Coverage – A complete health, dental, life and LTD insurance plan Top-Tier Equipment – We provide everything you need to do your best work. A Vibrant Workplace – Join us for monthly social and team building events. Perks You’ll Love – In our Montreal office, enjoy an onsite chef and gym. Stay Connected – Receive a phone allowance to keep you plugged in. Bring Your Best Friend – Our offices are pet-friendly! Salary range $160,000 to $185,000 annually, plus bonus based on KPIs Work Schedule: Monday to Friday, 8:30 a.m. to 5 p.m. Permanent, full-time, hybrid or remote Location: Montreal (QC) , Kitchener (ON) or Vancouver (BC) Application Deadline June 30, 2026 Ce poste est également affiché en français. Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.