Responsibilities Partner with sales and account teams to scope, design, and present Data & AI solutions during the pre-sales cycle
Lead technical discovery sessions with clients to assess current-state data/AI maturity and define target architectures across multicloud environments
Architect end-to-end, multicloud solutions spanning data engineering, data governance, analytics/BI, and AI/ML platforms on Azure, AWS, and Google Cloud
Advise clients on cloud platform selection and workload placement based on cost, performance, and data residency requirements
Develop statements of work, level-of-effort estimates, and solution architecture documentation
Provide delivery oversight and technical leadership on Data & AI engagements, ensuring solutions meet client requirements and OnX quality standards
Stay current on Data & AI and multicloud technology trends (cloud-native data platforms, MLOps, generative AI, data governance frameworks) and translate them into practice offerings
Mentor and develop junior consultants and engineers within the practice
Contribute to practice growth through thought leadership, whitepapers, and internal enablement content
Support vendor and partner relationships across Microsoft, AWS,



Google Cloud, Databricks, and Snowflake relevant to the Data & AI ecosystem
Qualifications 8+ years of experience in data architecture, analytics, or AI/ML consulting, with demonstrated pre-sales and delivery experience
Proven experience as a multicloud architect, designing and delivering data/AI solutions across at least two of Azure, AWS, and Google Cloud
Deep expertise in modern data platforms (e.g., Snowflake, Databricks, Azure Synapse/Fabric, AWS Redshift) and AI/ML tooling
Experience leading technical discovery and solution design for enterprise clients
Robust understanding of data governance, data quality, and data security practices across cloud platforms
Excellent communication and presentation skills, with the ability to translate technical concepts for business audiences
Relevant certifications across multiple cloud providers (e.g., Microsoft Azure, AWS, and/or Google Cloud data/AI or architecture certifications) preferred
Bachelor's degree in Computer Science, Data Science, or related field, or equivalent experience

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📌 Sr. Practice Consultant-Data & AI Toronto, ON, CA (Ontario)
🏢 OnX
📍 Ontario