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Added 8 days ago
BR
Go-to-Market (GTM) Engineer
Brodie Rec League
Toronto, ON
- $110,000 to $150,000 CAD / year
- Full-time
…four times a year, across 35+ cities in Canada and the US, with 20 more cities on the calendar for 2027 and a seed round led by Lerer Hippeau and Golden Ventures behind…
Added 8 days ago
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Senior Back-End Engineer
LotusFlare
Toronto, ON
- Full-time
At LotusFlare, Senior Backend Engineers are replacing traditional business back ends with an engagement-centric, dynamic product stack. You’ll develop, secure and scale the back-end…
Added 8 days ago
ZS
Platform Modernization Engineer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
Experience working with relational databases such as Postgre/SQL, Oracle or SQL Server
Added 8 days ago
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Senior AI Engineer, ICT
ICAO
Montreal, QC
- Full-time
…and multi-agent workflows, using Microsoft Azure AI services, with Python used for supporting tooling, prototyping and evaluation where…
Added 8 days ago
F/
Data Analyst, Data Solutions & Development
FCC / FAC
Surrey, BC
- Full-time
Proficiency in programming languages such as Python, PySpark, and advanced SQL across various platforms
Added 8 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week.
Added 8 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week.
Added 8 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week.
Added 8 days ago
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Python Developer
Collabera
Toronto, ON
- $65 to $70 USD / hour
- Contract
Title: Senior Python Developer (Azure & Databricks)
Added 8 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 8 days ago
UH
Business Analyst, Transformation and Innovation
University Health Network
Toronto, ON
- Full-time
Use data analysis and visualization tools (e.g., SQL, Python, Power BI, Tableau) to communicate findings
Added 8 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
A solid understanding of Spark concepts and distributed systems, including data transformations, DataFrames, and Spark SQL; experience with dbt and Airflow is an asset.
Added 8 days ago
Strategic Pricing Analyst, New Grad Opportunity, (12 months contract)
Siemens
Oakville, ON
Proficiency in Microsoft Excel and Python (or similar coding experience), with the ability to organize data and communicate findings effectively.
Added 8 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Mississauga, ON
- $92,740 to $123,375 CAD / year
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 8 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Experienced in any of the following programming/scripting languages (SQL, Python, Shell, Scala) Excellent organizational and time management skills, strong business presence with ability to…
Added 8 days ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 8 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Calgary, AB
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 8 days ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Expert skills in SQL, Python, and distributed data processing.
Added 8 days ago
PC
Retail Point of Sale (POS) Integration Specialist
Parkland Corporation
Calgary, AB
- Full-time
The successful candidate will work with systems that support fuel pricing, environmental compliance, accounting, inventory management, tank monitoring, and digital price sign management.…
Added 8 days ago
PC
IT Applications Support Specialist – Health, Safety, Environmental (HSE) & Transportation Systems
Parkland Corporation
Calgary, AB
- Full-time
Experience working with Microsoft SQL Server and data warehouse environments.
Added 8 days ago
IC
Dotnet Developer
Infotek Consulting Inc.
Toronto, ON
- Contract
The ideal candidate is a hands-on application developer who combines strong C#/.NET and SQL development skills with experience supporting enterprise financial technology systems.
Added 8 days ago
JG
Ab Initio Metadata Consultant (One round of interview)
J2B Global LLC
Mississauga, ON
- Full-time
Work with relational databases such as Oracle and SQL/PLSQL.
Added 8 days ago
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Data Engineer - (Pyspark & Python)
Apptad
Montreal, QC
- Contract
Core Technical Skills: Strong proficiency in Python and hands-on expertise with PySpark (Spark SQL, DataFrames, RDDs).
Added 8 days ago
A
Operations Analyst
Adecco
Markham, ON
- Full-time
This is an opportunity for someone who enjoys working with data, building dashboards and finding practical ways to improve business performance. Working with senior operations staff, you’ll…
Added 8 days ago
S
AI Software Developer Co-op
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.

KPMG Canada

Senior Manager, Data Platform(s) Architect, Data & AI

Vancouver, BC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Feb 1, 2027
Posting language: English
Posted: Oct 19, 2026

Original job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our Data & AI team is one of our fastest‑growing practices, with strong client demand across sectors to modernize data platforms and operationalize AI. Our mission is to help clients harness the full potential of the lakehouse paradigm centered on Databricks - to unlock the power of their data and drive business transformation with trustworthy, secure, and scalable AI. As a member of our team, you’ll work with cutting‑edge technology, tackle complex data challenges, grow your skills, and contribute to business growth and innovation in a dynamic and inclusive environment.

What You Will Do

Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution.
Analyze, implement, and resolve issues with existing modern data platforms
Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform.
Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments, ensuring robust automation and operational stability.
Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products.
Lead delivery teams through design, build, testing, and deployment, ensuring quality and operational excellence.
Drive pre‑sales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling.
Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
Own scoping, estimation, and task planning for assigned projects.
Embed data management leading practices, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
Own delivery outcomes for client engagements, including timelines, quality, and operational stability
Remaining up to date in new and emerging technologies

What You Bring To The Role

10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
Hands‑on Databricks and Fabric expertise across the whole data and analytics continuum.
Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
Expert skills in SQL, Python, and distributed data processing.
Deep understanding of data management including architecture, data engineering, governance, and data quality.
Strong delivery leadership including estimation, planning, and stakeholder communication.
Ability to translate business needs into technical solutions.
Relevant certifications (Databricks, Fabric or cloud architect) is preferred.
You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clients’ objectives and challenges.
You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
You’re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.
University degree in computer science, engineering, data science, mathematics, or a related discipline.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $150,000 to $192,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $140,000 to $179,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

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More about this job

Responsibilities

Architect and lead delivery of end-to-end data, analytics, and AI platforms, including lakehouse solutions, pipelines, CI/CD, and data foundations across cloud environments. Lead and mentor delivery teams, manage project scope and outcomes, and support business growth through proposals, demonstrations, proofs of concept, and reusable accelerators.

Requirements

Requires 10+ years of consulting experience leading complex data engineering, analytics, and AI initiatives, with hands-on expertise in Databricks and Microsoft Fabric and proficiency in cloud platforms, SQL, Python, and distributed data processing. Candidates should have a relevant university degree, strong data management and delivery leadership capabilities, and excellent communication skills; relevant platform or cloud certifications are preferred.

Skills

Data Platform Architecture
Databricks
Microsoft Fabric
Snowflake
Cloud Platforms
Azure
AWS
GCP
SQL
Python
Distributed Data Processing
Data Engineering
Data Governance
CI/CD
MLOps
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Data And AI
Data Platform Architecture
Databricks
Microsoft Fabric
Snowflake
Azure
AWS
GCP
Data Lakes
Data Warehouses
Lakehouse
Data Pipelines
Streaming Data
Batch Processing
Medallion Architecture
Semantic Layer
Data Products
SQL
Python
Distributed Data Processing
CI/CD
MLOps
Data Governance
Data Quality
Master Data Management
Metadata Management
Data Security
Data Privacy
Data Integration
Cloud Architecture

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