Data Platform Solution ArchitectThis 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 ResponsibilitiesSolution 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 QualificationsTechnical 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 CertificationsMicrosoft (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
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