Data Platform Solution Architect

Quadbridge • Vancouver, BC

2d • Hybrid

About The Position

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.

Requirements

• 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.
• Strong understanding of ELT/ETL patterns.
• Strong understanding of SQL and PySpark.
• Experience with Azure data services such as Azure Data Lake Storage, Azure Synapse, Azure SQL, Azure Data Factory.
• Experience in a VAR, systems integrator, or consulting environment.
• Strong client‑facing consulting and communication skills.
• Ability to translate technical concepts into business value.
• Experience collaborating with sales, delivery, and pre-sales teams.

Nice To Haves

• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert (plus)
• Databricks Data Engineer Associate
• Databricks Data Engineer Professional
• Databricks Lakehouse Fundamentals
• Azure Fundamentals (AZ‑900)
• AI‑900 (Azure AI Fundamentals)
• FinOps Practitioner (or equivalent cost‑management training)

Responsibilities

• 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) and 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.
• Support pre‑sales activities including technical discovery sessions, architecture whiteboarding, and 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).
• 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), and semantic models and analytics layers.
• Ensure delivery aligns to scope, timelines, and architectural standards.
• Design data governance, security, and compliance models including data access controls, cataloging and lineage, and workspace and tenant design.
• Apply FinOps and performance optimization practices to control cloud costs.
• Advise clients on platform lifecycle management and operational readiness.
• Stay current with Microsoft Fabric and Databricks roadmaps and partner best practice guidance.
• Contribute to internal accelerators, delivery templates, and sales enablement content.
• Support partner motions aligned to Microsoft Solution Partner and Databricks designations.

Benefits

• RRSP program
• Ongoing professional training and development opportunities
• Health, dental, life and LTD insurance plan
• Top-Tier Equipment
• Monthly social and team building events
• Onsite chef (Montreal office)
• Gym (Montreal office)
• Phone allowance
• Pet-friendly offices

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees