Manager, Data Platform(s) Architect, Data & AI
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Key skills for this role
About the Role
KPMG Canada seeks a Manager, Data Platform Architect to lead the design and delivery of modern data and AI solutions. You will architect end-to-end data platforms using Databricks, Fabric, and cloud services, mentor teams, and drive pre-sales.
Key Skills for This Role
Responsibilities
- Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy
- Architect and develop overall end to end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms
- Analyze, implement, and resolve issues with existing modern data platforms
- Provide mentorship to a team of data engineers, software developers, and data scientists
- Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads
- Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products
- Lead delivery teams through design, build, testing, and deployment
- Drive pre sales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling
- Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards
- Own scoping, estimation, and task planning for assigned projects
Requirements
- 8+ years consulting experience leading data engineering, analytics, and AI initiatives
- Hands on Databricks and Fabric expertise across the whole data and analytics continuum
- Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services
- Expert skills in SQL, Python, and distributed data processing
- Deep understanding of data management including architecture, data engineering, governance, and data quality
- Strong delivery leadership including estimation, planning, and stakeholder communication
- Ability to translate business needs into technical solutions
- Relevant certifications (Databricks, Fabric or cloud architect)
- Comfortable leading diverse teams and managing stakeholder expectations
- Exceptional communication skills, both verbally and written
Full Job Posting
Overview
- At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges.
- Our Data & AI team is one of our fastest‑growing practices, with strong client demand across sectors to modernize data platforms and operationalize AI.
- Our mission is to help clients harness the full potential of the lakehouse paradigm centered on Databricks.
What You Will Do
- Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy.
- Architect and develop overall end to end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake on Azure, AWS and GCP.
- Analyze, implement, and resolve issues with existing modern data platforms.
- Provide mentorship to a team of data engineers, software developers, and data scientists.
- Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments.
- Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products.
- Lead delivery teams through design, build, testing, and deployment, ensuring quality and operational excellence.
- Drive pre‑sales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling.
- Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
- Own scoping, estimation, and task planning for assigned projects.
- Embed data management leading practices.
- Own delivery outcomes for client engagements, including timelines, quality, and operational stability.
What You Bring To The Role
- 8+ years consulting experience leading data engineering, analytics, and AI initiatives.
- Hands‑on Databricks and Fabric expertise across the whole data and analytics continuum.
- Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
- Expert skills in SQL, Python, and distributed data processing.
- Deep understanding of data management including architecture, data engineering, governance, and data quality.
- Strong delivery leadership including estimation, planning, and stakeholder communication.
- Ability to translate business needs into technical solutions.
- Relevant certifications (Databricks, Fabric or cloud architect).
- Comfortable leading diverse teams and managing stakeholder expectations.
- Exceptional communicator, both verbally and written.
Pay Range Information
- Expected base salary range: CAD 117,000 to CAD 152,000 (Ontario) or CAD 117,000 to CAD 152,500 (BC).
- May be eligible for bonus awards.
- Comprehensive and competitive Total Rewards program.
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