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Senior Manager, Data Platform Architect

Toast · Nzalae/ Nzawa locations

Nouveau
Senior 🇬🇧 English
Databricks Microsoft Fabric Snowflake Azure AWS GCP SQL Python CI/CD MLOps

Description du poste

About the role

Toast is recruiting on behalf of a global professional services firm with more than 10,000 people across Canada, whose Data & AI practice helps clients modernize data platforms and put AI into production on a secure, scalable lakehouse foundation built around Databricks. The Senior Manager, Data Platform Architect designs end-to-end data and analytics solutions, leads delivery teams and contributes to pre-sales and thought leadership. The role is full-time and based in Toronto, Vancouver or Calgary.

Key responsibilities

  • Turn business and analytics needs into a clear data, analytics and AI strategy with cross-functional engagement teams
  • Architect data solutions across data lakes, warehouses and lakehouses on Databricks, Microsoft Fabric and Snowflake, primarily on Azure but also AWS and GCP
  • Design modern data foundations: 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
  • Guide delivery teams through design, build, testing and deployment, and own timelines, quality and stability
  • Own scoping, estimation and task planning, mentor data engineers, developers and data scientists, and build reusable accelerators and MLOps templates
  • Embed data management best practices (modelling, master data, metadata, security, privacy, quality, integration)
  • Contribute to pre-sales: RFP responses, proposals, solution demos, proofs of concept and partner collaboration

Required profile

  • 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
  • Leadership of diverse teams and multiple engagements, and ability to translate business needs into practical, cost-effective technical solutions
  • Nice to have: a Databricks, Microsoft Fabric or cloud architect certification, and experience speaking at or contributing to industry events

Required skills

  • Hands-on 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, and experience with distributed data processing
  • Deep understanding of data management, architecture, governance and data quality

What we offer

  • Base salary plus annual bonuses, within a comprehensive total rewards package including health and wellness coverage
  • Choice of Toronto, Vancouver or Calgary
  • A senior seat in a fast-growing practice, with direct client and partner exposure and a path toward partner-track leadership

Candidates apply through the online portal with a resume and cover letter, then attend a 30-45 minute vetting call before being presented to the client.

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Nzalae/ Nzawa locations