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



Google Cloud, Databricks, and Snowflake relevant to the Data & AI ecosystemQualifications
8+ years of experience in data architecture, analytics, or AI/ML consulting, with demonstrated pre-sales and delivery experienceProven experience as a multicloud architect, designing and delivering data/AI solutions across at least two of Azure, AWS, and Google CloudDeep expertise in up-to-date data platforms (e.G., Snowflake, Databricks, Azure Synapse/Fabric, AWS Redshift) and AI/ML toolingExperience leading technical discovery and solution design for enterprise clientsStrong understanding of data governance, data quality, and data security practices across cloud platformsExcellent communication and presentation skills, with the ability to translate technical concepts for business audiencesRelevant certifications across multiple cloud providers (e.G., Microsoft Azure, AWS, and/or Google Cloud data/AI or architecture certifications) preferredBachelor'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 Winnipeg (Canada)
🏢 OnX
📍 Canada