Senior Manager, Data Platform Architect

Job Description

Toast is recruiting on behalf of a global professional services firm with more than 10,000 people across Canada, serving many of the country’s largest enterprises and public sector organizations. Its Data & AI practice is one of the firm’s fastest-growing teams, helping clients modernize their data platforms and put AI into production on a secure, scalable lakehouse foundation built around Databricks. They are hiring a Senior Manager, Data Platform Architect to design end-to-end data and analytics solutions, lead delivery teams, and help grow the practice through pre-sales and thought leadership. This is a full-time role based in Toronto, Vancouver, or Calgary.
 

Responsibilities

 

• Work with cross-functional engagement teams to turn business and analytics needs into a clear data, analytics, and AI strategy
• Architect end-to-end data solutions across data lakes, warehouses, and lakehouses on platforms like Databricks, Microsoft Fabric, and Snowflake, primarily on Azure but also AWS and GCP
• Design modern data foundations, including streaming and batch pipelines, medallion architecture, semantic layers, and data products
• Diagnose and resolve issues on existing modern data platforms
• Lead the design of CI/CD pipelines for application, data, and AI workloads so they run reliably across environments
• Guide delivery teams through design, build, testing, and deployment, and own outcomes for timelines, quality, and stability
• Own scoping, estimation, and task planning for your projects
• Mentor data engineers, software developers, and data scientists
• Build reusable accelerators, ingestion frameworks, CI/CD and MLOps templates, and platform standards
• Embed data management best practices, including data modelling, master data, metadata, security, privacy, quality, and integration
• Drive pre-sales work such as RFP responses, proposals, solution demos, proofs of concept, and partner collaboration

 

Requirements

 

• Degree in computer science, engineering, data science, math, or a related field
• 10+ years of consulting experience leading data engineering, analytics, and AI initiatives, including architecting scalable, repeatable data platforms
• Hands-on expertise with Databricks and Microsoft Fabric across the full data and analytics lifecycle
• Cloud proficiency in Azure, AWS, or GCP, including identity, networking, security, and integration with data services
• Expert SQL and Python skills and experience with distributed data processing
• Deep understanding of data management, including architecture, engineering, governance, and data quality
• Strong delivery leadership, including estimation, planning, and stakeholder communication
• Experience leading diverse teams and managing multiple engagements at once
• Ability to translate business needs into practical, cost-effective technical solutions
• Excellent written and verbal communication, with confidence presenting to clients and leadership
• A self-starter mindset and an established professional presence in the data community

Nice to Haves

• A Databricks, Microsoft Fabric, or cloud architect certification would be a plus
• Experience speaking at or contributing to industry events is considered an asset

 

Benefits

 

• Compensation listed on the posting is for base salary only. Total complensation includes base salary + annual bonuses.
• Comprehensive total rewards package, including health and wellness coverage
• Choice of three major Canadian tech hubs: Toronto, Vancouver, or Calgary
• A senior seat in one of the firm’s fastest-growing practices, shaping how large Canadian organizations modernize their data and adopt AI
• Work hands-on with Databricks, Fabric, and Snowflake across all three major clouds
• Build the accelerators and standards the whole practice delivers with, giving your work impact beyond any single engagement
• Direct client and partner exposure with a strong runway toward partner-track leadership