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Added 3 months ago
S
Architecte en IA agentique - Intelligence Engineering / Agentic AI - Sr. Architect - Intelligence Engineering
Slalom
Montreal, Quebec
- Full-time
Concevoir et livrer des solutions d’IA et d’apprentissage automatique sur AWS, Azure et GCP, en utilisant la combinaison appropriée de services de données natifs du nuage, d’outils…
Added 2 months ago
KC
IT Manager
Kepler Communications
Toronto, ON
- Full-time
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 1 month ago
Senior Software Developer
Bentley Systems
Vancouver, BC · Toronto, ON
A Senior Software Developer, Subsurface Information Management is responsible for the end-to-end design, development, and release of high-performance platform services and APIs that enable…
Added 1 month ago
E
Technical Lead / Senior Developer - Software Development
EY
Victoria, BC
- Full-time
As a Technical Lead or a Senior Consultant, you will be responsible for leading the design, development, and delivery of scalable enterprise applications. This role combines deep hands-on…
Added 3 months ago
TN
Senior Cloud Engineer
The Nationwide Group
Markham, Ontario
- $130,000 to $145,000 CAD / year
- Full-time
Design and implement AWS-based infrastructure solutions to support fintech applications with high availability and low latency.
Added 3 months ago
C
Senior Data Engineer
ClickUp
Canada
- Full-time
…solve our hardest engineering problems. You'll operate across AWS serverless technologies, Snowflake, dbt, and Terraform, but your impact goes well beyond any single tool: you'll shape how…
Added 3 months ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
As a Senior Architect or Architect in Intelligence Engineering, you’ll design and deliver innovative AI/ML and agentic AI solutions as part of intelligent products and automating /…
Added 1 month ago
Senior Software Engineer, AI Entries
Lyft
Toronto, ON
Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB
Added 3 months ago
VL
Python Software Engineer
Valence, LLC
Engineer, BC
- Full-time
Description: The Python Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development,…
Added 29 days ago
NB
Senior AI Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Artificial Intelligence (AI) Scientist on the AI Factory team at National Bank means playing a key role in evaluating, optimising and monitoring the performance of AI…
Added 3 months ago
PI
Senior Database Engineer
PENN Interactive
Canada
- Full-time
We are looking for a Senior Database Engineer to join our thriving Engineering team, to work cross-functionally across engineering, focusing on the architecture for optimal platform…
Added 2 months ago
TH
Manager, Data Science (Askuity division)
The Home Depot
Toronto, ON
- Full-time
…to keep learning, consider starting or growing your career with us at The Home…
Added 1 month ago
E
Technical Lead / Senior Developer - Software Development
EY
Toronto, ON
- Full-time
As a Technical Lead or a Senior Consultant, you will be responsible for leading the design, development, and delivery of scalable enterprise applications. This role combines deep hands-on…
Added 1 month ago
P
Senior Applied Researcher AI/ML ( CAD)
PointClickCare
Canada
- Full-time
Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling…
Added 3 months ago
S
Senior Backend & Infrastructure Engineer
Scispot
Remote, Canada
- $80,000 to $120,000 USD / year
- Full-time
- Remote
We are looking for a senior backend and infrastructure engineer who treats production as a product.
Added 3 months ago
P
Senior Frontend Engineer
Procurify
Remote, Canada
- $137,000 to $152,000 CAD / year
- Full-time
- Remote
You’re a person with a knack for solving some of the most pressing technology challenges in SaaS application development while leveling up the team of engineers around you, and you’re eager…
Added 3 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Added 1 month ago
E
Technical Lead / Senior Developer - Software Development
EY
Edmonton, AB
- Full-time
As a Technical Lead or a Senior Consultant, you will be responsible for leading the design, development, and delivery of scalable enterprise applications. This role combines deep hands-on…
Added 3 months ago
E
Senior Software Engineer - Backend
Evertz
Burlington, Ontario
- Full-time
As a Senior Software Engineer, you will combine strong software engineering fundamentals with modern AI-assisted development practices. You will work on the evertz.io microservices and…
Added 3 months ago
C
Senior Software Developer - Agentic System
Coveo
Montreal, Quebec
- Full-time
Contribute to architectural decisions and engineering best practices across Python, TypeScript, Java, and AWS technologies.
Added 3 months ago
K
Senior Software Engineer, Agents
Klue
Vancouver, British Columbia
- $140,000 to $196,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 2 months ago
B
Senior Embedded Software Developer
BinSentry
Kitchener, ON
- Full-time
As we scale up, we're looking for a Senior Embedded Software Developer to help us build the embedded software that is changing the face of the feed industry.
Added 2 months ago
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Senior Applied Machine Learning Developer, Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
Added 2 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 2 months ago
J
Senior Software Engineer, Applied AI (Toronto)
Justworks
Toronto, ON
- $188,000 to $242,000 CAD / year
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…

ShyftLabs

Senior Data Engineer

Toronto, ON, Canada

$140,000 – $180,000 (CAD) · Full-time

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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.

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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

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