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Added 10 mins ago
ES
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- Full-time
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Added 10 mins ago
EC
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- Full-time
Forum Asset Management – Full Stack Developer (AI-Native)

Municipal Property Assessment Corporation

Lead Data Engineer

Pickering, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 20, 2026
Positions available: 1
Posting language: English
Posted: Oct 6, 2026

Original job description

Date: Aug 14, 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 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 and lead the design, development, optimization, and migration of scalable data platforms, pipelines, and integration frameworks. Establish engineering and DataOps practices, build high-performance OLTP systems, and implement data quality, governance, security, metadata, lineage, monitoring, and observability capabilities 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. Requires seven years of progressively responsible enterprise data or software engineering experience, including technical leadership, and advanced knowledge of data engineering, cloud platforms, architecture, databases, CI/CD, and enterprise development tools.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Engineering
Data Architecture
Data Modeling
Cloud Computing
Cloud-Native Solutions
Data Pipelines
Integration Frameworks
DataOps
DevOps
CI/CD
GitLab CI/CD
Agile Delivery
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
Data Governance

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