Senior Manager, Data Platform(s) Architect, Data & AI
KPMG View all jobs
- Toronto, ON Vancouver, BC
- $150,000-192,000 per year
- Permanent
- Full-time
What you will do
- Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
- 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 (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution.
- Analyze, implement, and resolve issues with existing modern data platforms
- Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform.
- Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments, ensuring robust automation and operational stability.
- 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, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
- Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
- Own delivery outcomes for client engagements, including timelines, quality, and operational stability
- Remaining up to date in new and emerging technologies
- 10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) 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).
- You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
- You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clients’ objectives and challenges.
- You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
- You’re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
- You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
- You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.