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Added 2 days ago
PC
AML Analytics Manager
Pwc Canada
Toronto, ON
- Full-time
Experience with analytical tools such as SQL, Python, Pyspark, or similar technologies.
Added 2 days ago
EM
Senior Consultant/Manager - Data Engineer
Electric Mind
Toronto, ON
- Full-time
We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services/wealth management data platform. The platform ingests data from multiple…
Added 2 days ago
Senior Technology Specialist, Integration
Equitable
Waterloo, ON
Java, Python, PySpark, PowerShell, C#/.NET, Bash.
Added 2 days ago
E
Senior Technology Specialist, Integration
Equitable
Waterloo, ON
- $85,000 to $110,000 CAD / year
- Full-time
Java, Python, PySpark, PowerShell, C#/.NET, Bash.
Added 2 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 2 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 2 days ago
T
Data Engineer – Databricks & MDM
Teqfocus
Toronto, ON
- Contract
Strong proficiency in SQL and working knowledge of Python and/or PySpark.
Added 3 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 3 days ago
B
Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 3 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 3 days ago
CT
Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
Advanced Python skills and strong experience with SQL, PySpark, and large-scale datasets.
Added 3 days ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
Write and maintain production-grade Python and PySpark code across large-scale data processing, feature engineering, model execution, testing and deployment.
Added 3 days ago
M
Senior Data Architect
Miratech
Mississauga, ON
- Full-time
Write and review production-grade transformation logic in T-SQL, Spark SQL and Python/PySpark.
Added 3 days ago
KC
Senior Data Consultant – Databricks
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Develop, maintain, and optimize Databricks data pipelines and transformations using Python, PySpark, SQL, and notebooks.
Added 3 days ago
SI
Contract Data Engineer
SapienX Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Writes clean, maintainable Python/PySpark and SQL
Added 3 days ago
A
Data Analytics Lead
Altis
Markham, ON
- $110,000 to $125,000 CAD / year
- Full-time
We're looking for a hands-on Senior Data Engineer who enjoys building reliable, scalable data solutions. If you're passionate about writing high-performance SQL, developing robust Python…
Added 4 days ago
B
Senior Analyst, Credit Risk Analytics, Stress Testing (12 Month Contract)
BMO
Toronto, ON · FCP
- Full-time
Added 4 days ago
FS
Senior Data Engineer
Futran Solutions
Mississauga, ON
- Full-time
Strong hands-on experience in Python and PySpark.
Added 4 days ago
Campus I&D: Associate Application Consultant
Capgemini
Mississauga, ON
Utilize cloud platforms (Azure, AWS, GCP) and big data tools (Databricks, Pyspark) to build AI solutions.
Added 4 days ago
W
Senior Data Engineer / Data Analyst
Wipro
Mississauga, ON
- Full-time
Strong hands-on experience in Python and PySpark.
Added 4 days ago
UH
Software Developer
University Health Network
Toronto, ON
- Full-time
Strong proficiency in Python, JavaScript or TypeScript
Added 5 days ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
Core Languages: Advanced, expert-level proficiency in Python (PySpark, Spark Core) and Advanced SQL (complex analytical queries, window functions, and physical query execution plan tuning).
Added 5 days ago
K
Senior Data Integration Developer, Fabric
KPMG
Toronto, ON · ON · Vaughan, Ontario
- Full-time
The Senior Data Integration Developer (Fabric) designs, builds, and supports secure, scalable data integration solutions for KPMG Canada’s internal clients through the Enterprise Analytics…
Added 5 days ago
UT
Sr Python Engineer #26-21269
US Tech Solutions
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python…
Added 5 days ago
ES
Senior Data Engineer
Epsilon Solutions Ltd.
Mississauga, ON
- $65 to $70 CAD / hour
- Contract
We are seeking an experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, and Snowflake to join our Capital Markets technology team. The ideal candidate will play a…

Architecture in Motion Inc.

Practice Lead - Data & AI

Mississauga, ON, L4W 5M6, Canada

Full-time

Apply 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 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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