Jobs in Canada

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Added 2 hours ago
TI
Terraform Developer
Themesoft Inc.
Toronto, ON
- Contract
Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake is required, including query federations and fundamental data engineering concepts. You will…
Added 2 hours ago
TI
Terraform Developer
Themesoft Inc.
Toronto, ON
- Contract
Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake is required, including query federations and fundamental data engineering concepts. You will…
Added 2 hours ago
DL
Terraform Developer
Diverse Lynx
Toronto, ON
- Contract
Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake is required, including query federations and fundamental data engineering concepts. You will…
Added 12 hours ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
Knowledge of modern cloud data platforms such as Snowflake and cloud environments such as AWS is beneficial.
Added 13 hours ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
Knowledge of modern cloud data platforms such as Snowflake and cloud environments such as AWS is beneficial.
Added 18 hours ago
Y
Senior FinOps Architect
Yochana
Toronto, ON
- Full-time
We’re seeking a Senior FinOps Architect for the NGS Cloud Advisory & Consulting team, focusing on Azure and Snowflake environments. Strong hands-on expertise in Apptio Cloudability,…
Added 18 hours ago
RB
Senior Manager, Business Intelligence & Reporting
Royal Bank of Canada
Toronto, ON
- Full-time
…pilot alternative reporting solutions, including Power BI, Snowflake dashboards, Databricks dashboards and Streamlit, and recommend new capabilities that improve the…
Added 18 hours ago
L
Senior Solution Architect - Agentforce/ Salesforce
lululemon
Vancouver, BC
- Full-time
Experience integrating Salesforce with enterprise data and streaming platforms, including Snowflake and Kafka, supporting batch and real‑time data flows
Added 18 hours ago
CP
Summer Student - Data Analytics
Capital Power
Calgary, AB
- Full-time
Learn and work with our modern analytics and reporting ecosystem, including Azure, Snowflake, Databricks, Power BI, and SQL-based data platforms.
Added 18 hours ago
CP
Summer Student - Data Science
Capital Power
Edmonton, AB
- Full-time
Learn and work with our modern analytics and reporting ecosystem, including Azure, Snowflake, Databricks, Power BI, and SQL-based data platforms.
Added 19 hours ago
L
Full-Stack Software Engineer
Luxoft
Canada
- Full-time
…Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 19 hours ago
RC
Data and Analytics Technical Manager
RSM Canada
Toronto, ON
- Full-time
Deep expertise in at least two of the following major cloud data platforms: Microsoft Fabric, Snowflake, and Databricks.
Added 19 hours ago
S
Lead, Account Solution Engineer/Manufacturing & Automotive
Salesforce
Toronto, ON · Montreal, QC · Canada - Montreal
- Full-time
Added 19 hours ago
R
Senior Manager, Business Intelligence & Reporting
RBC
Toronto, ON
- Full-time
…pilot alternative reporting solutions, including Power BI, Snowflake dashboards, Databricks dashboards and Streamlit, and recommend new capabilities that improve the…
Added 19 hours ago
K
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG
Montreal, QC
- Full-time
…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…
Added 19 hours ago
S
AI & Data Strategist
Slalom
Calgary, AB
- Full-time
Familiarity with AI/ML technologies and platforms including generative AI, LLMs, Azure, AWS, Databricks, Snowflake, OpenAI, Google Cloud, or similar ecosystems.
Added 21 hours ago
RB
Senior Manager, Liquidity Risk Measurement
Royal Bank of Canada
Toronto, ON
- Full-time
Added 21 hours ago
Analyst, Lifecycle Marketing
Reliance Home Comfort
Toronto, ON
Strong SQL skills, with experience in BigQuery, Snowflake, or similar data platforms.
Added 21 hours ago
H
Senior DevOps Engineer
Highspring
Montreal, QC
- Full-time
Work with Databricks and Snowflake environments to support data engineering initiatives.
Added 22 hours ago
Y
Senior FinOps Architect
Yochana
Toronto, ON
- Full-time
We’re seeking a Senior FinOps Architect for the NGS Cloud Advisory & Consulting team, focusing on Azure and Snowflake environments. Strong hands-on expertise in Apptio Cloudability,…
Added 22 hours ago
RU
Data and Analytics Technical Manager
RSM US LLP
Toronto, ON · Calgary, AB
- Full-time
Deep expertise in at least two of the following major cloud data platforms: Microsoft Fabric, Snowflake, and Databricks.
Added 22 hours ago
K
Senior Director, Enterprise Platforms
Klick
Toronto, ON
- Full-time
Design end-to-end omnichannel architectures spanning Salesforce, Veeva, Adobe, Marketo, SFMC, Snowflake, Databricks, Fabric, CDPs, APIs, and integration layers.
Added 22 hours ago
BS
SQL Developer/Data Office Developer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
Must have Skills
Added 23 hours ago
K
Senior Director, Enterprise Platforms
Klick
Toronto, ON
- Full-time
Design end-to-end omnichannel architectures spanning Salesforce, Veeva, Adobe, Marketo, SFMC, Snowflake, Databricks, Fabric, CDPs, APIs, and integration layers.
Added 23 hours ago
R
Senior Manager, Liquidity Risk Measurement
RBC
Toronto, ON
- Full-time

Municipal Property Assessment Corporation

Lead Data Engineer (ITA7)

Pickering, ON, Canada

Full-time

This date has passed. Check with the employer before applying.

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Job details

Job type: Full-time
Listed closing date: Oct 20, 2026
Positions available: 1
Posting language: English
Posted: Oct 7, 2026

Original job description

Date: Oct 7, 2026

Location:

Pickering, ON, CA

Type of Position: Permanent

Type Of Position

Number of Positions: 1

Salary Min: $110,783.00

Salary Max: $132,157.00

Description

Do you want to be part of a team helping to strengthen every community across Ontario? Are you interested in seeing the importance of your work firsthand? Do you have a passion for big data and cloud computing – and know the benefit of using data to improve business practices?

Become a Lead Data Engineer (ITA7) with MPAC

The Municipal Property Assessment Corporation (MPAC) is made up of a team of experts who understand local communities and assess every property in Ontario. What we do provides the very foundation that municipalities use to base the property taxes needed to pay for the services we use every day.

Equity, Diversity, Inclusion and Anti-Racism

MPAC is committed to Equity, Diversity, Inclusion and Anti-Racism. We are taking important steps towards ensuring that all voices are respected, valued and being heard. MPAC is dedicated to fostering an environment where employees can bring their full, unique and authentic selves and are inspired to do their best work.

Our Information Technology team works closely with each department across the business to design, build and deliver innovative solutions that help make MPAC an international leader in the property assessment industry. The way we think about technology is different, and our teams are proud to share their knowledge and contribute to meaningful, technology-enabled success stories that enhance operational intelligence and customer service delivery. We tackle complex problems collaboratively in an agile environment, and are committed to ensuring MPAC technology is consistently available, scalable, performance-based and secure. We’re a group of forward-thinking and talented professionals who stay ahead of the game by using open source technology, cutting-edge cloud computing, advanced analytics and predictive and machine learning models.

Job Description

What makes you great for this role?

You are a data engineering leader with a passion for building scalable, reliable, and innovative enterprise data solutions. You bring deep expertise in modern data engineering, cloud platforms, and data architecture, along with the ability to provide technical direction, solve complex challenges, and build strong relationships across technical and business team

We Have

A team of highly skilled, dedicated and collaborative staff to work with
Leadership that supports you
An enterprise that embraces change
A work environment that has flexible work locations (including hybrid), hours of work and overall employee wellness support

You Have

Completion of a university degree or college diploma in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline, or an equivalent combination of education, training and experience
Seven (7) years of progressively responsible experience in enterprise data engineering, software engineering or enterprise data platform development, including experience leading complex technical initiatives and providing technical leadership within multidisciplinary teams
Advanced knowledge of enterprise data engineering principles including data modelling, cloud data platforms and DataOps practices
Demonstrated ability to establish engineering standards, mentor technical teams and influence enterprise engineering practices
Experience designing and developing scalable data pipelines, integration frameworks and cloud-native data solutions supporting operational reporting, analytics and AI initiatives
Strong knowledge of relational and non-relational databases, data architecture, data quality management, metadata, data governance and enterprise integration patterns
Experience with source control, CI/CD pipelines, DevOps/DataOps and agile delivery methodologies, including GitLab CI/CD pipelines
Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, PostGres, AWS data services or comparable enterprise data platforms, including PostgreSQL, Redshift, AWS SQS, AWS S3, RabbitMQ, Kubernetes and Rancher
Experience using enterprise development and collaboration tools such as Git, Bitbucket, Jira and Confluence
Knowledge of enterprise architecture principles, cloud computing, information security and privacy, and best practices
Excellent interpersonal, coaching, relationship management, oral and written communication skills

Nice To Have

Knowledge of data engineering practices supporting advanced analytics, artificial intelligence and machine learning initiatives

What You Will Do

Provide technical leadership for enterprise data engineering initiatives and resolve complex engineering challenges
Lead the design, development and optimization of scalable data platforms, pipelines, integration frameworks and migration solutions
Establish engineering standards, reusable frameworks, automation and DataOps/DevOps practices
Design and develop Online Transaction Processing (OLTP) systems that support scalable, reliable and high-performance operational workloads
Implement data quality, governance, security, metadata, lineage, monitoring and observability practices
Collaborate with technology teams and business stakeholders to define solutions, manage technical risks and deliver enterprise data capabilities

Additional Information

Requisition ID: 3137
Existing Vacancy: Yes
Job Type: Union
Closing Date: October 20, 2026

Ready to apply?

Please note, only applications submitted through the Applicant Tracking System will be accepted.

Successful candidates will be required to undergo a background verification with Mintz Global Screening. By applying to this job posting, you are providing your consent to MPAC to share your name, email address and phone number with Mintz, to conduct the criminal and driver abstract check and for Mintz to disclose the results to MPAC, should you be the successful incumbent.

MPAC is committed to fostering an inclusive, accessible environment where all employees and members of the public feel valued, respected and supported. We are dedicated to building a workforce that reflect the diversity of the public and communities we serve.

Persons with disability who need accommodation in the application process or those needing job postings in an alternative format may email their request to careers@mpac.ca.

We may use technology and automated tools to support recruitment and selection processes. All artificial intelligence (AI) outputs are reviewed and validated by our recruitment team.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Please note that MPAC prohibits employees from holding a current/valid real estate license and successful applicants must at least suspend their real estate licenses during their period of employment at MPAC as outlined in our Employee Code of Conduct.

Job advertisements for positions that have been designated bilingual will be posted in both English and French on our website. Positions that are not designated bilingual are not translated and are only posted in English on the English version of our website.

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More about this job

Responsibilities

Provide technical leadership for enterprise data engineering initiatives, resolving complex challenges and leading the design, development, and optimization of scalable data platforms, pipelines, integration frameworks, and migration solutions. Establish engineering standards and DataOps practices, develop high-performance OLTP systems, and implement data quality, governance, security, metadata, lineage, monitoring, and observability practices in collaboration with technical teams and business stakeholders.

Requirements

Requires a university degree or college diploma in computer science, data engineering, software engineering, information systems, or a related discipline, or equivalent education and experience, plus seven years of progressively responsible enterprise data or software engineering experience. Candidates should have advanced knowledge of data engineering, cloud platforms, architecture, DataOps, databases, CI/CD, and enterprise development tools, along with technical leadership, mentoring, communication, and relationship-management skills.

Skills

Enterprise Data Engineering
Data Architecture
Cloud Data Platforms
Data Modeling
DataOps
Scalable Data Pipelines
Data Integration
SQL
Python
Java
Apache Spark
Microsoft Fabric
Databricks
Azure Data Factory
Snowflake
PostgreSQL

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Engineering
Data Architecture
Data Modeling
Cloud Computing
Cloud Data Platforms
DataOps
DevOps
Data Pipelines
Data Integration
OLTP
SQL
Python
Java
Groovy
Spring Boot
Apache Spark
Microsoft Fabric
Databricks
Azure Data Factory
Snowflake
PostgreSQL
Amazon Redshift
AWS SQS
AWS S3
RabbitMQ
Kubernetes
Rancher
GitLab CI/CD
Data Governance
Agile Delivery

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Jobs in Canada