Innovative Data Platform Solution Engineer
Microsoft· Solution Engineering
Toronto, ON, Calgary, AB, Vancouver, BC, Ottawa, ONCA$128k - CA$222.4kFull-timePosted 2w ago
About the role
Cloud & AI Solution Engineer for commercial customers at Microsoft, focused on modernizing data platforms, databases and analytics using Azure technologies, with hands-on engagements and guided migration to cloud deployments.
Responsibilities
- Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
- Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
- Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
- Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
- Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
- Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
- Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
Qualifications
- Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience.
- 8+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience.
- 6+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).
- Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
- Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
- Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
- Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
Skills
Required:Demos and PoCs to influence solution designArchitecture workshops and hackathonsCustomer relationship management
Last updated Oct 9, 2026. Interested? Apply on the company site.
About Microsoft
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