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