Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 4 months ago
A
Senior Software Engineer, Full-stack (Distribution Center)
Afresh
Ontario
- $137,000 to $205,000 CAD / year
- Full-time
Python, PostgreSQL, GraphQL, Databricks, DBT, Terraform/OpenTofu, Azure, pair programming, test-driven development
Added 4 months ago
B
Manager, Data Engineer
Brookfield
Toronto, Ontario
- Full-time
…expertise in data engineering, particularly with platforms like Databricks and Snowflake, to spearhead the design, implementation, and optimization of our data models. The ideal candidate…
Added 4 months ago
P
Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
- $139,000 to $155,000 CAD / year
- Full-time
…and leading incident response across cloud environments like Databricks, Azure AI suites. The team collaborates closely with research, platform, data, and security teams across the AI…
Added 3 months ago
O
Senior Data Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
The Senior Data Engineer will join the Software Engineering team that leads the delivery of data and application solutions that enable OMERS Global Investments (GI) and Corporate teams to…
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a…
Added 3 months ago
PF
Decision Science Analyst
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Working knowledge of cloud environments, such as Azure, GCP or AWS. Experience with big data tools such as Spark and Databricks is an asset.
Added 3 months ago
V
Senior Machine Learning Engineer
Vancity
Vancouver, BC
- Full-time
Designing and implementing production-grade MLOps solutions using Azure ML, Databricks, MLflow, and related cloud technologies
Added 5 months ago
C
Data Governance and Data Analytics Presales Solutions Architect
Centrilogic
Canada
- Full-time
…business outcomes across the Microsoft ecosystem, including Azure, Microsoft 365, Microsoft Fabric, Azure Databricks, Microsoft Purview, and AI-powered…
Added 5 months ago
S
Master Data Management (MDM) - Principal
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Databricks, Snowflake, Microsoft Fabric, BigQuery, AWS, Azure, or GCP certifications
Added 3 months ago
OG
Venture Studio Analyst - Onni Capital
Onni Group of Companies
Vancouver, BC
- Full-time
Experience with tools such as Claude, Claude Code, Codex, Cursor, Linear, Slack, Databricks, Microsoft Azure, or similar platforms
Added 5 months ago
R
Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
- Full-time
We’re hiring Senior ML Platform Engineers (Contract) to contribute to building and scaling machine learning platforms across a range of client engagements. This work includes developing ML…
Added 3 months ago
A
Senior Professional Services Consultant
Ataccama
Toronto, ON
- Full-time
Your Must Have Skills
Added 3 months ago
SD
Senior Business Analyst
Symbiotic Digital
Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
- Contract
with Azure, Databricks, Oracle, and Azure SQL.
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 3 months ago
BA
Senior Analyst, Application Integration
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Experience with Snowflake, Databricks, SQL Server, ADO (Azure DevOps), Jira, Informatica & Qualytics
Added 3 months ago
Manager - Banking (Data Management & Governance)
Synpulse
Toronto, ON
…Lakehouse patterns, and advising clients on platform choices across Databricks, Snowflake, and other cloud-based data…
Added 2 months ago
T
Senior Data Modeller / Data Product Designer - Enterprise Payments
TD
Toronto, ON
- Full-time
Must Have Skills:
Added 5 months ago
C
Full Stack Java Developer Lead
CGI
Toronto, Ontario
- Full-time
We are looking for a Senior Full Stack Developer with deep expertise in Java, cloud technologies, and AI, along with strong experience in the Property & Casualty (P&C) insurance domain. You…
Added 5 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
…production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro,…
Added 4 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
Location: Toronto, ON (Hybrid-4 days in Office)
Added 2 months ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
Collaborate with senior Data Engineers, Architects, and analytics teams.
Added 2 months ago
P
Credit Tech senior Manager
PwC
Toronto, ON
- Full-time
…FICO, Moodys), cloud data and analytics platforms (for example, Databricks, Google Cloud, Microsoft Azure, AWS), and statistical and modeling environments (for example, SAS, Python,…
Added 2 months ago
T
Senior Data Modeller / Data Product Designer - Enterprise Payments
TD
Toronto, ON
- Full-time
Must Have Skills:
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…

ShyftLabs

Senior Data Engineer

Toronto, ON, Canada

$140,000 – $180,000 (CAD) · Full-time

Apply on jobs.lever.co About employer

Applications open in a new tab.

Job details

Pay: $140,000 – $180,000 (CAD)
Job type: Full-time
Posting language: English
Posted: Jul 28, 2026

Original job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast, and we're looking for passionate technical leaders who are excited to solve complex data challenges, build modern cloud platforms, and deliver innovative solutions for enterprise clients.

The Opportunity

ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a highly client-facing leadership role responsible for owning projects from discovery through production deployment. You'll partner directly with client stakeholders to understand business objectives, define technical strategy, architect scalable cloud solutions, and lead engineering teams through successful delivery. The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL, and modern cloud platforms with proven experience leading complex data modernization initiatives. You'll play a key role in shaping technical direction, mentoring engineers, establishing engineering best practices, and delivering scalable data products that enable analytics, AI, and machine learning.

\nWhat You'll Be Doing

Technical Leadership

Lead the architecture, design, and implementation of enterprise-scale data platforms from project inception through production deployment.
Own technical delivery across multiple client engagements while ensuring high-quality engineering standards.
Define solution architecture, technical roadmaps, and implementation strategies aligned with client business goals.
Conduct architecture reviews, code reviews, and establish engineering best practices across project teams.
Mentor and coach Data Engineers while fostering technical excellence and continuous learning.
Serve as the primary technical leader for complex engineering initiatives and critical project decisions.

Client Partnership

Partner directly with Fortune 500 clients to understand business requirements and translate them into scalable technical solutions.
Lead discovery workshops, architecture sessions, and technical planning meetings with both business and engineering stakeholders.
Present solution designs, delivery plans, and architectural recommendations to technical leadership and executive audiences.
Build trusted relationships with client teams while providing technical guidance throughout project execution.
Support pre-sales activities by contributing technical expertise, solution estimates, and implementation approaches when required.

Data Engineering & Platform Development

Design, develop, and optimize enterprise-grade data pipelines using the Databricks Unified Analytics Platform.
Build scalable ETL and ELT frameworks capable of processing large-scale structured and unstructured datasets.
Design and implement Lakehouse architectures using Delta Lake and Medallion design patterns.
Develop high-performance Spark applications for batch and real-time data processing.
Integrate data from enterprise applications, APIs, streaming platforms, and cloud storage solutions.
Ensure data quality, integrity, and reliability through automated validation, testing, and monitoring.

Cloud & DevOps

Architect cloud-native data platforms across AWS, Azure, or Google Cloud Platform.
Implement Infrastructure-as-Code using Terraform or similar technologies.
Build and maintain CI/CD pipelines supporting automated testing and deployment.
Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.
Monitor platform performance and proactively resolve operational issues.

Data Governance & Security

Implement enterprise data governance frameworks and security best practices.
Configure Unity Catalog, metadata management, lineage, and role-based access controls.
Ensure compliance with organizational security standards and regulatory requirements.
Promote data observability and operational excellence across production environments

Cross-Functional Collaboration

Partner closely with Product Managers, Data Scientists, Analytics Engineers, Machine Learning Engineers, and Software Engineers to deliver high-impact data products.
Enable AI and machine learning initiatives through scalable feature engineering pipelines and production-ready datasets.
Contribute reusable frameworks, accelerators, and engineering standards that improve delivery across client engagements.

What You'll Bring

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical discipline.
8+ years of experience designing and building enterprise-scale data platforms.
5+ years of hands-on experience with Databricks and Apache Spark.
Proven experience leading enterprise data engineering projects from architecture through production delivery.
Strong expertise in Python, SQL, and Spark for large-scale data processing.
Deep understanding of Delta Lake, Lakehouse architecture, and modern data platform design.
Experience working with AWS, Azure, or Google Cloud Platform.
Strong knowledge of ETL/ELT frameworks, distributed computing, and data modeling.
Experience implementing CI/CD pipelines and Infrastructure-as-Code.
Strong understanding of data governance, security, metadata management, and data quality practices.
Experience optimizing distributed data processing workloads for performance and cost.
Excellent communication and stakeholder management skills with experience working directly with enterprise clients.
Demonstrated ability to mentor engineers and lead technical initiatives

Nice to Have

Databricks Certified Professional Data Engineer certification.
Experience with Delta Live Tables, MLflow, Unity Catalog, and Databricks SQL.
Experience with Kafka, Kinesis, Event Hubs, or other streaming technologies.
Hands-on experience with Snowflake, dbt, Airflow, or modern data orchestration tools.
Experience with Kubernetes, Docker, and Terraform.
Knowledge of AI/ML data platforms, Feature Stores, or Retrieval-Augmented Generation (RAG) architectures.
Previous consulting or professional services experience delivering solutions for enterprise clients.
Experience within retail, e-commerce, financial services, logistics, healthcare, or ad-tech environments.

Salary Range

$140,000 – $180,000 (CAD)

Why You'll Love Working at ShyftLabs

Lead Enterprise Transformations: Design and deliver modern data platforms that power analytics, AI, and digital transformation initiatives for Fortune 500 organizations.

Technical Ownership: Drive architecture decisions, influence technical strategy, and lead projects from discovery through production.

Growth & Leadership: Mentor talented engineers, shape engineering best practices, and continue developing your technical and leadership skills.

Hybrid Flexibility: Work three days per week from our downtown Toronto office.

Comprehensive Benefits: 100% employer-paid health, dental, and vision coverage for you and your dependents from day one, along with ongoing learning and professional development opportunities.

Inclusion at ShyftLabs

We're building something big, and we want you on the journey with us. If you're ready to solve complex data challenges, lead enterprise projects, and build innovative solutions that create measurable business impact, we'd love to hear from you. ShyftLabs is an equal opportunity employer committed to creating a safe, diverse, and inclusive workplace. We encourage applicants of all backgrounds, including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality, to apply. If you require accommodation during the interview process, please let us know and we'll be happy to support you.

Apply on jobs.lever.co About employer

More about this job

Responsibilities

Lead the architecture, design, and delivery of enterprise-scale data platforms while partnering with Fortune 500 clients to define technical strategy. You will mentor engineering teams, establish best practices, and ensure high-quality production deployment of scalable data products.

Requirements

Requires a Bachelor's or Master's degree in a technical discipline and 8+ years of experience in enterprise data platform development. Candidates must possess strong hands-on expertise in Databricks, Apache Spark, Python, and cloud-native infrastructure.

Skills

Data engineering
Databricks
Apache Spark
Python
SQL
Cloud architecture
ETL
ELT
Delta Lake
Lakehouse architecture
Terraform
CI/CD
Data governance
Data modeling
Distributed computing
Technical leadership

Benefits

Health insurance
Dental coverage
Vision coverage
Professional development
Learning opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Databricks
Apache Spark
Python
SQL
Cloud Platforms
AWS
Azure
Google Cloud Platform
ETL
ELT
Delta Lake
Lakehouse
Terraform
CI/CD
Data Governance
Unity Catalog
Distributed Computing
Data Modeling
Infrastructure-as-Code
Consulting
Enterprise Architecture
Machine Learning
Analytics
Data Pipelines
Metadata Management
Data Quality
Technical Leadership
Mentorship
Stakeholder Management

Report this job

Work requirements

Jobs in Canada