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Added 6 mins ago
Senior Specialist, Cloud Infrastructure Operations Engineering
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Join the Technology and Business Transformation team in the Senior Specialist, Cloud Infrastructure Operations Engineering position. In this position, you will be responsible for…
Added 6 mins ago
S
Project Archaeologist, Field Lead
Stantec
ON · Stoney Creek, ON
- Full-time
We are seeking to hire full-time personnel for the role: Project Archaeologist, Field Lead, to join our Archaeology team in Ontario. An individual in this role will be highly organized and…
Added 7 mins ago
OP
Manager, Engineering and System Planning
Oshawa Power
Oshawa, ON
- Full-time
Reporting to the Vice President, Engineering & Operations, the Manager, Engineering & System Planning will provide strategic and technical leadership in the planning, design,…
Added 7 mins ago
RI
IT Specialist - VMware
Raas Infotek
AB · Edmonton, AB
- Contract
…initiatives and some operational requirements we require an Infrastructure Architect/Implementer to assist with our design and upgrade implementation of VMware. The accountabilities of this…
Added 7 mins ago
MU
Director of Facilities - Custodial, Grounds, Logistics and Mail and Related Services
McMaster University
Hamilton, ON
- Full-time
Leads annual and multi-year planning for assigned facilities services, assets, infrastructure, programs, or operations by assessing service requirements, operational risks, asset condition,…
Added 7 mins ago
AS
Electrical Engineer
Alliance Search Partners
Mississauga, ON
- Full-time
Our Customer is seeking an experienced MV/HV & Substation Engineering Program & Team Leader to lead and scale our portfolio of medium-voltage (MV), high-voltage (HV), substation, protection…
Added 7 mins ago
RI
IT Specialist - VMware
Raas Infotek
AB · Edmonton, AB
- Contract
Providing input to the IS Infrastructure project deliverables (schedules, test plans, test results, implementation plans, transition to operations, processes/procedures) and other documents…
Added 7 mins ago
CH
Senior Data Warehouse Developer
Calgary Homeless Foundation
Calgary, AB
- Full-time
Lead the development, upgrade, and maintenance of the MAGE application, aligning with evolving business needs and ensuring seamless integration with data infrastructure.
Added 21 mins ago
Manager, Annual Giving & Donor Engagement
YMCA of Northeastern Ontario
North Bay, ON
The Manager is accountable for translating donor intelligence and fundraising infrastructure into active relationship development, solicitation, stewardship, and philanthropic revenue. The…
Added 21 mins ago
Field Services - Project Lead
Wenco (a Hitachi Construction Machinery subsidiary)
Richmond, BC
…and material movement sectors, enabling sustainable and safe…
Added 21 mins ago
RI
IT Specialist – Vmware
Raas Infotek
AB · Edmonton, AB
- Contract
…initiatives and some operational requirements we require an Infrastructure Architect/Implementer to assist with our design and upgrade implementation of VMware. The accountabilities of this…
Added 21 mins ago
RP
Sr. Accountant
RESA Power Canada
Vaughan, ON
- Full-time
…than simply escalating issues. This role partners closely with operations to support revenue recognition, cost control, and…
Added 21 mins ago
FI
Infrastructure Architect Lead
FP Inc.
Toronto, ON · Scarborough, ON
- $80 to $91 CAD / hour
- Contract
Lead current-state discovery, architecture assessments, and target-state infrastructure design.
Added 21 mins ago
AS
Director of Information Technology
Athletica Sport Systems Inc.
Kitchener, ON
- $120,000 to $150,000 CAD / year
- Full-time
…across Athletica and its operating entities, supporting daily operations, organic growth, and acquisitions. The successful candidate will build and lead a growing IT team, stay hands-on…
Added 21 mins ago
FE
Senior System Specialist (Cloud)
Future Electronics
Kirkland, QC
- Full-time
The Senior Cloud Infrastructure Specialist is responsible for the design, implementation, and evolution of Future’s enterprise cloud ecosystem, with a primary focus on Microsoft Azure and…
Added 36 mins ago
C
Manufacturing Automation Manager/Team Leader
Ciena
Ottawa, ON · Quebec, QC
- $146,600 to $234,200 CAD / year
- Full-time
As the global leader in high-speed connectivity, Ciena builds the critical infrastructure powering the AI era. We’re a technology company shaping the future of networking, guided by…
Added 36 mins ago
M
Senior Manager, Commercial Management – Ontario Line
Metrolinx
Canada
- Full-time
…professionals who care deeply about working together to deliver infrastructure and make a positive impact in our communities. Join us as we build a knowledgeable and collaborative team that…
Added 36 mins ago
C
Pluggable Material Lead
Ciena
Ottawa, ON
- Full-time
As the global leader in high-speed connectivity, Ciena builds the critical infrastructure powering the AI era. We’re a technology company shaping the future of networking, guided by…
Added 37 mins ago
RI
IT Specialist - VMware
Raas Infotek
AB · Edmonton, AB
- Contract
…initiatives and some operational requirements we require an Infrastructure Architect/Implementer to assist with our design and upgrade implementation of VMware. The accountabilities of this…
Added 37 mins ago
RI
VMware Specialist ( VCF 9.x)
Raas Infotek
AB · Edmonton, AB
- Contract
Provide input to the IS Infrastructure project deliverables (schedules, test plans, test results, implementation plans, transition to operations, processes/procedures) and other documents…
Added 51 mins ago
Lead Track Engineer and Team Leader
GHD Group Pty Ltd
Vancouver, BC
We’re looking for a Senior Track Designer – Team Leader to join our growing Canadian Operations. This position will be based in our Vancouver, Edmonton, or Calgary office. This role…
Added 51 mins ago
A
Local Technical Support Analyst
Accenture
Vancouver, BC
- Full-time
Support the life cycle of the workstation infrastructure to include installations, implementations, operations and support, service and decommissioning of all specified desktop, laptop and…
Added 52 mins ago
TI
Solutions Architect
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
TekStaff's Client has a current vacancy for a Solution Architect (Infrastructure Architecture Lead)
Added 52 mins ago
O
Nonprofit GTM Strategy Manager
Okta
Toronto, ON
- $131,000 to $202,400 USD / year
- Full-time
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work…
Added 1 hour ago
R
Director, Cash Management
RBC
Toronto, ON
- Full-time
This Director-level position provides strategic leadership and operational oversight for cash management operations supporting RBC's global Capital Markets and Retail nostro accounts. The…

Exchange Solutions

Senior Data Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: A minimum of 5 years’ progressive data engineering experience, with a demonstrated record of owning production data pipelines end-to-end.
Posting language: English
Posted: Nov 3, 2026

Original job description

Role Summary

The Senior Data Engineer reports to the Director, Information Technology Operations and designs, builds, and scales the data systems that support analytics, AI-enabled experiences, and organizational decision-making. The role owns significant parts of the data platform, including production pipelines, transformation layers, data models, semantic layers, data quality, observability, and engineering standards. It provides technical direction, mentors engineers and analysts, and partners with technical and business teams to deliver trusted, well-modelled data products. The role also evaluates and implements AI-assisted data engineering capabilities to improve pipeline development, transformation, documentation, metadata, data quality, and governed access to enterprise data while maintaining appropriate engineering controls and review.

Primary Responsibilities:

Data Platform Architecture & Technical Direction

Responsible for key contribution of significant parts of the data platform and drive long-term architectural decisions related to tooling, data modelling, semantic architecture, automation, and scalability.
Design data platform capabilities that reliably support analytics, reporting, operational use cases, and AI-enabled experiences.
Evaluate technical options and establish reusable patterns that improve platform maintainability, extensibility, and engineering effectiveness.

Pipeline Development & Transformation

Design, build, and maintain scalable, reliable production data pipelines and transformation layers using dbt and a medallion Bronze, Silver, and Gold architecture.
Write advanced SQL and Python to develop transformations, frameworks, automation, and reusable engineering tooling.
Responsible for production data pipelines end-to-end, including design, development, testing, deployment, monitoring, troubleshooting, optimization, and ongoing support.

Data Modelling & Semantic Architecture

Lead data modelling across dimensional models, slowly changing dimensions, fact and dimension design, and well-structured Silver and Gold layers.
Design and evolve semantic layers that define business entities, metrics, relationships, calculations, and governed business logic for consistent use across BI, analytics, and AI applications.
Develop metadata-driven and governed data structures that make enterprise data discoverable, understandable, and consistently consumable.

AI-Assisted Data Engineering & Enablement

Evaluate and apply AI-assisted engineering approaches to accelerate pipeline design, transformation logic, SQL generation, testing, documentation, troubleshooting, and optimization while maintaining strong review and engineering controls.
Explore AI-assisted schema understanding, metadata generation, relationship discovery, business-concept mapping, and generation of semantic definitions.
Partner with Analytics and Innovation AI Labs to enable natural-language-to-data, intelligent analytics, semantic retrieval, and other AI or LLM-based uses of governed enterprise data.

Data Quality & Observability

Responsible for evolving key elements of the data quality strategy, including testing frameworks, monitoring, alerting, service levels, observability, anomaly detection, and platform-wide validation.
Implement controls that identify pipeline, transformation, model, metadata, and semantic-layer issues early and support timely root-cause analysis and remediation.
Promote trusted data products through clear quality standards, transparent monitoring, and continuous improvement of reliability and usability.

Engineering Practices & Delivery Standards

Establish and champion engineering practices covering version control, CI/CD, code review, documentation, automated testing, clean maintainable code, and dbt project standards.
Develop reusable frameworks and automation that improve delivery consistency, reduce manual effort, and support safe changes across data environments.
Contribute to governance, cataloguing, lineage, metadata management, and data-contract practices that strengthen understanding and control of enterprise data.

Partnership, Mentorship & Team Growth

Collaborate with analysts, data scientists, product teams, and business stakeholders to translate business requirements into trusted, well-modelled data products.
Mentor and support engineers and analysts, provide technical guidance, and contribute to team capability and engineering maturity.
Communicate architecture decisions, data definitions, quality expectations, risks, and technical trade-offs clearly to technical and business stakeholders.
Contribute to the culture of the company, fostering Exchange Solutions' core values and policies.

Capability Requirements - Education, Skills & Experience:

Education & Experience

Post secondary education, with a degree in Data Engineering.
A minimum of 5 years’ progressive data engineering experience, with a demonstrated record of owning production data pipelines end-to-end.
Experience designing, developing, and operating data platforms that support analytics, reporting, operational use cases, or AI-enabled applications.
Experience translating business and analytical requirements into trusted data products in collaboration with technical and business stakeholders.
Experience leading data engineering projects or mentoring engineers and analysts is an asset.
Experience in a loyalty, retail, financial services, or other data-intensive environment is an asset.

Technical Skills

Expert SQL skills and strong Python proficiency for data engineering; working knowledge of Jinja.
Deep hands-on dbt experience, including advanced modelling, macros, packages, testing, documentation, and project architecture using dbt Core or dbt Cloud.
Strong command of medallion architecture and data modelling, including dimensional modelling, slowly changing dimensions, fact and dimension design, and semantic layers.
Experience designing or working with semantic models, governed business metrics, metadata-driven architectures, or governed business definitions.
Experience with cloud data warehouses such as Snowflake, BigQuery, Databricks, or Redshift and with cloud platforms such as AWS, Azure, or GCP.
Experience building and operating data quality, testing, monitoring, alerting, lineage, cataloguing, or observability capabilities.
Solid software engineering practices covering Git, CI/CD, automated testing, code review, documentation, and clean maintainable code.
Experience with orchestration tools such as Airflow, Dagster, Prefect, dbt Cloud, or Snowflake Tasks is an asset.
Familiarity with streaming or real-time data and infrastructure-as-code tools such as Terraform is an asset.
Ability to evaluate and safely incorporate AI-assisted tools into data and software engineering workflows, including development assistance, metadata enrichment, automated documentation, and intelligent data-quality tooling.
Experience with AI or LLM-enabled data platforms, natural-language-to-SQL, semantic retrieval, knowledge graphs, ontologies, semantic views, or agentic data engineering workflows is an asset.

Competencies & Behaviours

Ownership & Accountability - Takes end-to-end responsibility for production data pipelines, platform components, engineering quality, and resolution of risks or failures.
Architecture & Technical Judgement - Makes practical, forward-looking decisions that balance scalability, reliability, maintainability, data quality, delivery needs, and long-term platform direction.
Communication - Translates business requirements and complex data concepts into clear models, technical decisions, documentation, and guidance for technical and non-technical stakeholders.
Collaboration & Mentorship - Builds effective relationships across engineering, analytics, data science, Product, and business teams and raises team capability through practical coaching and knowledge sharing.
Innovation & Responsible AI - Explores new tools and AI-assisted approaches thoughtfully, validates their value, and applies appropriate review, governance, quality, and security controls.
Attention to Detail - Applies a disciplined approach to modelling, transformation logic, testing, metadata, semantic definitions, documentation, and production changes.

Apply About employer

More about this job

Responsibilities

Design, build, and operate scalable data platform components, production pipelines, transformation layers, data models, and semantic layers that support analytics, reporting, and AI-enabled applications. Set engineering standards, improve data quality and observability, evaluate responsible AI-assisted engineering approaches, and provide technical direction and mentorship while partnering with business and technical teams.

Requirements

Requires post-secondary education with a degree in Data Engineering and at least five years of progressive data engineering experience, including end-to-end ownership of production pipelines. Candidates should have expert SQL, strong Python, deep dbt experience, data modeling and cloud data platform expertise, and familiarity with engineering practices, data quality, and responsible AI-assisted tools.

Skills

SQL
Python
dbt
Jinja
Data Pipeline Engineering
Medallion Architecture
Dimensional Modeling
Semantic Layers
Cloud Data Warehousing
Data Quality and Observability
CI/CD
Git
Data Governance
AI-Assisted Engineering
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Jinja
dbt Core
dbt Cloud
Medallion Architecture
Bronze-Silver-Gold Architecture
Dimensional Modeling
Slowly Changing Dimensions
Semantic Layers
Snowflake
BigQuery
Databricks
Redshift
AWS
Azure
GCP
Airflow
Dagster
Prefect
Snowflake Tasks
Terraform
CI/CD
Git
Data Quality
Data Observability
Data Governance
Metadata Management
Natural-Language-to-SQL
LLMs

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