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