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Added 25 mins ago
Intelex Product Architect
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10–15 years of progressive experience in EHS/ESG software consulting, implementation, or solution architecture.
Added 25 mins ago
OpenText Architect
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Added 55 mins ago
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Salesforce Commerce Cloud (SFCC) Architect
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Precision Technologies

Senior Practice Consultant

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Experience: ● 8+ years of experience in data architecture, analytics, or AI/ML consulting, with demonstrated pre-sales and delivery experience
Posting language: English
Posted: Sep 21, 2026

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Original job description

Senior Practice Consultant – Data & AI

Toronto, ON

Full-Time

The Senior Practice Consultant – Data & AI serves as a trusted multicloud architect and solution lead within OnX's Data & AI practice, guiding clients through the design and delivery of data platforms, analytics, and AI/ML solutions across Azure, AWS, and Google Cloud. This role blends pre-sales solution architecture with hands-on delivery leadership, and contributes directly to shaping the practice's offerings and capabilities.

Key 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

Strong 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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More about this job

Responsibilities

The Senior Practice Consultant serves as a multicloud architect and solution lead, guiding clients through the design and delivery of data, analytics, and AI/ML platforms. This role involves partnering with sales teams for pre-sales architecture, providing delivery oversight, and mentoring junior staff.

Requirements

Candidates must have 8+ years of experience in data architecture, analytics, or AI/ML consulting with proven multicloud expertise. A bachelor's degree in a relevant field or equivalent experience is required, along with strong communication skills and technical proficiency in modern data platforms.

Skills

Data Architecture
Multicloud Architecture
Solution Architecture
Data Engineering
Data Governance
Analytics
AI/ML
Azure
AWS
Google Cloud
Snowflake
Databricks
Pre-sales
Technical Leadership
Cloud-native Data Platforms
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Multicloud
Azure
AWS
Google Cloud
Snowflake
Databricks
Azure Synapse
Fabric
Redshift
AI/ML
Data Governance
Data Quality
Data Security
Pre-sales
Solution Architecture
MLOps
Generative AI
Cloud-native
Consulting
Technical Discovery
Workload Placement
Data Engineering
Business Intelligence
Thought Leadership
IT Services
IT Consulting

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