Jobs in Canada

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Added 6 days ago
C
Senior AWS Data Engineer (Strong Databricks)
Ccube
Mississauga, ON
- $70 to $80 CAD / hour
- Full-time
Build data integration workflows using SQL, Python, Spark, Databricks, Kafka, Airflow, dbt, or equivalent technologies.
Added 6 days ago
M
Senior Analyst, Risk Management Solutions and Integrations
Manulife
Toronto, ON
- Full-time
Proficiency in SQL and at least one programming language, such as Python, C++, Java, Numba/CUDA.
Added 6 days ago
TI
Report Developer / Azure Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
…enterprise analytics solutions using Microsoft Azure, Databricks, Python, SQL, and…
Added 6 days ago
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PowerBI Developer, ETL, Azure, Databricks, SQL
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
The Government of Ontario is seeking an experienced Software Developer - ETL/Power BI Developer to support the Ontario Data Platform (ODP), a large-scale Data & AI transformation…
Added 6 days ago
FL
Software Engineer (AI Agents)
Fluent, LLC
Remote, Canada
- $130,000 to $155,000 CAD / year
- Full-time
- Remote
You are a builder who ships. You are strong in Python and SQL, you have put at least one LLM-powered application in front of real users, and you know the difference between a demo and a…
Added 6 days ago
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Digital Operations, Senior Associate
PwC
Toronto, ON
- Full-time
Tools may include Python, R, and SQL; optimization solvers; simulation libraries; and enterprise or cloud data platforms.
Added 6 days ago
Senior BI Analyst, Reporting & BI (m/f/x)
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 6 days ago
T
Senior Information Security (Application Security)
TD
Toronto, ON
- Full-time
We work closely with developers, application teams and security partners to embed security into developer workflows, automate security operations and simplify vulnerability remediation. The…
Added 6 days ago
T
Senior Business Intelligence Analyst – Power BI
TD
Toronto, ON
- Full-time
This is a hands-on technical role for someone with strong Power BI and DAX expertise, strong data visualization skills, and experience working with SQL, Python and Databricks.
Added 6 days ago
T
Senior Business Intelligence Analyst – Power BI
TD
Toronto, ON
- Full-time
This is a hands-on technical role for someone with strong Power BI and DAX expertise, strong data visualization skills, and experience working with SQL, Python and Databricks.
Added 6 days ago
AI
Practice Lead - Data & AI
Architecture in Motion Inc.
Mississauga, ON
- Full-time
Strong technical foundation in SQL, Python, PySpark, data modelling, and modern data architectures.
Added 6 days ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are looking for an experienced Software Engineer with strong hands-on expertise in Java, Python, Linux, and CI/CD to join a dynamic DevSecOps team supporting a large-scale, highly…
Added 6 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 6 days ago
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Data Tech Lead/Architect (AWS)
DEDICATTED
Canada
- Full-time
Proficiency in SQL and experience with Python, Java, or Scala.
Added 6 days ago
D
Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore
DEDICATTED
Canada
- Full-time
Experience with complex data integrations: SQL/PostgreSQL, ETL/ELT patterns, working with messy real-world client data.
Added 6 days ago
A
Senior Java Software Engineer
Artech
Mississauga, ON
- Contract
We are seeking a Senior Software Developer with deep Java technology expertise to work directly with our Fintech clients in the Spread Products space. This is a hybrid…
Added 6 days ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Mississauga, ON
- Contract
Strong experience with SQL, NoSQL databases and ORMs
Added 6 days ago
VS
Data Science Developer
vTech Solution Canada
Toronto, ON
- Contract
Strong programming skills, particularly Python and SQL, with experience developing production-quality applications.
Added 6 days ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Strong experience with Python for backend development
Added 6 days ago
C
Sr. Financial Analyst, Treasury Product Control
CIBC
Toronto, ON
- Full-time
You can demonstrate solid understanding and experience in working with Treasury products in a previous role in Finance, Accounting, Product Control environment, and have proficiency in data…
Added 6 days ago
AI Engineer – Market Surveillance
Capco
Toronto, ON
Hands-on AI or software engineering experience, with practical skills in Python, SQL and machine learning or LLM-based technologies.
Added 6 days ago
IF
Data Scientist
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Is proficient in Python and SQL, as well as various statistical and machine learning techniques;
Added 6 days ago
RT
Machine Learning Engineer
Russell Tobin
Toronto, ON
- Contract
Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power…
Added 6 days ago
NS
Azure Databricks Solutions Architect
N2P Systems
Toronto, ON
- Full-time
…enterprise data platforms using Microsoft Azure and Databricks, with strong expertise in Lakehouse architecture, data engineering, data governance, and AI-enabled…
Added 6 days ago
BS
Azure Databricks Platform engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
Integrate Azure Databricks with ADLS Gen2, Azure Data Factory, Azure SQL, Azure Key Vault, and managed identities. Implement secure authentication and authorization using Microsoft Entra…

Architecture in Motion Inc.

Practice Lead - Data & AI

Mississauga, ON, L4W 5M6, Canada

Full-time

Apply on iaim.bamboohr.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Typically 10+ years in data, analytics, or related engineering roles, including experience leading technical teams and enterprise client engagements.
Posting language: English
Posted: Nov 5, 2026

Original job description

Job Title: Practice Lead – Data & AI Company: Architecture in Motion (AIM) Location: Greater Toronto Area, Canada Employment Type: Full-time Reporting To: VP, Microsoft Business Solutions

The Opportunity

AIM is seeking a Data & AI Practice Lead to build and lead our Microsoft-focused Data & AI practice.

You will own the practice’s technical direction, delivery quality, team development, and commercial performance. The role requires deep Microsoft Fabric expertise, practical data science capabilities, and strong AI engineering knowledge, together with the ability to translate those capabilities into compelling client solutions.

This is a hands-on leadership position. You must be comfortable engaging executives, shaping proposals, designing architectures, reviewing code, resolving technical challenges, and developing the team.

Key Responsibilities

Practice strategy and growth

Define and execute the Data & AI practice strategy, service portfolio, capability roadmap, and hiring plan.
Partner with business development and Microsoft alliance leadership to build qualified pipeline and win new customers.
Develop repeatable offerings across data modernization, Microsoft Fabric, predictive analytics, AI applications, and managed data services.
Own practice revenue, gross margin, utilization, delivery capacity, and forecasting against agreed targets.
Establish clear differentiation through industry expertise, reusable intellectual property, and demonstrable business outcomes.
Support Microsoft partner designations and advanced specializations through skilling, customer delivery evidence, and technical readiness.

Technical leadership and architecture

Serve as the senior technical authority for Data & AI engagements.
Lead solution architecture across Microsoft Fabric, Azure data services, data science, and AI engineering.
Establish standards for data architecture, integration, modelling, security, governance, testing, deployment, and operations.
Make sound build-versus-buy decisions and select technologies based on client requirements, economics, and operational needs.
Remain directly involved in critical designs, technical reviews, proofs of concept, and complex delivery issues.
Ensure solutions are secure, maintainable, scalable, and ready for production.

Microsoft Fabric and enterprise data

Lead implementations spanning OneLake, Lakehouse, Warehouse, data pipelines, notebooks, semantic models, and Power BI.
Guide integration with Dynamics 365 Business Central, Finance & Operations, Dataverse, and other enterprise systems.
Establish reliable ingestion, transformation, data quality, lineage, and monitoring practices.
Oversee performance tuning, capacity planning, and cost optimization.
Develop trusted data foundations that support reporting, predictive analytics, and AI applications.

Data science and AI engineering

Identify business problems suited to predictive analytics, machine learning, and generative AI.
Guide model development for forecasting, anomaly detection, customer segmentation, inventory optimization, and related use cases.
Challenge model assumptions, evaluation methods, and business value before production deployment.
Lead the engineering of enterprise AI applications, including retrieval-augmented generation, search, agent workflows, and application integration.
Establish practices for model and AI evaluation, deployment, monitoring, access control, and responsible use.
Ensure the team can move solutions from demonstrations into reliable production services.

Client engagement and solution selling

Lead executive discovery sessions, technical workshops, assessments, and architecture discussions.
Translate business priorities into phased roadmaps with clear outcomes, scope, dependencies, and investment requirements.
Own the technical integrity of proposals, estimates, statements of work, and delivery commitments.
Present solutions credibly to business executives, IT leaders, data teams, and procurement stakeholders.
Identify opportunities to expand client relationships through measurable value and trusted advice.
Contribute to demonstrations, thought leadership, events, and Microsoft co-sell activities.

Delivery and people leadership

Own delivery quality, technical risk, resource allocation, and escalation management across the practice.
Work with project management to maintain realistic plans, budgets, acceptance criteria, and change controls.
Recruit, mentor, and develop data engineers, analytics engineers, data scientists, and AI engineers.
Establish individual development and certification plans aligned with practice priorities.
Build a culture of engineering discipline, accountability, collaboration, and continuous learning.
Develop reusable accelerators and apply AI-assisted delivery methods with appropriate quality controls.

Required Qualifications

Typically 10+ years in data, analytics, or related engineering roles, including experience leading technical teams and enterprise client engagements.
Demonstrated success building or leading a consulting practice, delivery team, or comparable Data & AI function.
Deep, hands-on Microsoft Fabric expertise and experience delivering production solutions.
Strong technical foundation in SQL, Python, PySpark, data modelling, and modern data architectures.
Practical data science experience, including model development, validation, deployment, and monitoring.
Strong AI engineering experience involving LLMs, retrieval, embeddings, APIs, and production evaluation.
Experience designing secure enterprise solutions using Microsoft Azure and associated identity and governance services.
Proven ability to scope engagements, develop estimates, support sales, and manage delivery economics.
Experience managing people, developing capabilities, and holding teams accountable for outcomes.
Strong executive communication skills and the ability to connect technical decisions to business value.

Preferred Qualifications

Experience integrating Microsoft data and AI solutions with Dynamics 365.
Experience in distribution, supply chain, manufacturing, or other operationally complex industries.
Experience with Azure Machine Learning, MLflow, Azure AI Search, Microsoft Purview, and real-time analytics.
Familiarity with Microsoft partner programs, co-sell motions, solution designations, and specialization requirements.
Relevant Microsoft certifications across Fabric, Azure architecture, AI engineering, or data science. [DP-700, DP-600, AI-103, AI-300]
Experience developing packaged services, reusable accelerators, or managed service offerings.

What Success Looks Like

Area

Expected outcome

Practice direction

A clear service portfolio, capability roadmap, and execution plan aligned with AIM’s growth objectives.

Commercial performance

Achievement of agreed revenue, gross margin, pipeline contribution, and utilization targets.

Client delivery

Predictable execution, strong client satisfaction, and measurable business outcomes.

Technical capability

Production-ready Fabric, predictive analytics, and AI solutions supported by consistent engineering standards.

Team development

Clear ownership, effective mentoring, targeted hiring, and progress against certification plans.

Microsoft alignment

Delivery evidence and technical readiness supporting AIM’s partner objectives.

First 90 Days

Assess the team, delivery portfolio, technical assets, and capability gaps.
Establish the practice operating plan, scorecard, service priorities, and resource requirements.
Take technical ownership of priority opportunities and active engagements.
Build an executive-ready demonstration connecting Microsoft Fabric, predictive analytics, and AI to a relevant business scenario.
Implement baseline standards for architecture reviews, estimating, delivery quality, and production readiness.

Apply on iaim.bamboohr.com About employer

More about this job

Responsibilities

The Practice Lead will define and execute the Data & AI practice strategy, overseeing technical direction, team development, and commercial performance. They will lead solution architecture, manage delivery quality, and engage with executives to drive business growth and client success.

Requirements

Candidates must have 10+ years of experience in data, analytics, or engineering roles with a proven track record of leading technical teams and consulting practices. Deep hands-on expertise in Microsoft Fabric, modern data architectures, and AI engineering is required.

Skills

Microsoft Fabric
Data Architecture
Artificial Intelligence
Data Science
Python
SQL
PySpark
Machine Learning
Generative AI
Azure Data Services
Data Modeling
Solution Architecture
Leadership
Strategic Planning
Consulting
Business Development

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Data & AI
Azure
OneLake
Lakehouse
Power BI
Dynamics 365
Predictive Analytics
Generative AI
LLMs
Retrieval-Augmented Generation
Data Engineering
Data Governance
SQL
Python
PySpark
Machine Learning
Azure Machine Learning
MLflow
Azure AI Search
Microsoft Purview
Data Modeling
Cloud Architecture
Consulting
Practice Management
Business Development
Strategy
Leadership
Enterprise Solutions
Data Modernization

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Jobs in Canada