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Added 1 month ago
Stagiaire en Développement Cloud, Intern Cloud Developer – FCAP
Autodesk
Montreal, QC
Full-time
Familiarité avec les pratiques DevOps (CI/CD, Git, pipelines de build, déploiement, observabilité et infrastructure infonuagique).
Added 2 months ago
AI-DNA Project Manager
IgniteTech
Canada
Full-time
Familiarity with DevOps practices, CI/CD pipelines, or cloud infrastructure projects (AWS, Azure, GCP).
Added 2 months ago
Lead Python Developer
OpenText
Richmond Hill, ON
Full-time
As a Lead Python Developer in the OpenText SCA data science team, you will work on enhancing data intake processes and optimizing data pipelines. You will apply many different approaches,…
Added 2 months ago
IT Senior Manager, Enterprise Architecture
Saputo Inc.
Montreal, QC · Saint-Laurent, QC
Full-time
Familiarity with Agile and DevOps methodologies.
Added 2 months ago
IT Senior Manager, Enterprise Architecture
Saputo Inc.
Georgetown, ON
Full-time
Familiarity with Agile and DevOps methodologies.
Added 1 month ago
Digital Architect
Government of Alberta
Edmonton, AB
Experience with integration patterns, DevOps, CI/CD, or MLOps practices.
Added 2 months ago
Site Reliability Engineer
Baseten
Montreal, Quebec
$165,000 to $330,000 USD / year
Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 2 months ago
Frontend/UI Developer
Larus
Ottawa, Ontario
Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…
Added 2 months ago
Data Scientist
Larus
Ottawa, Ontario
Full-time
Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops);
Added 2 months ago
Security Engineer
Baseten
Montreal, Quebec
$150,000 to $250,000 USD / year
Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 2 months ago
Lead Software Developer
Oncoustics
Toronto, Ontario
Full-time
The lead software developer will help shape product software architecture and development processes for Oncoustics’ clinical solutions. In typical startup fashion this is a multi-faceted…
Added 2 months ago
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
Full-time
…and pharmaceutical players. We are looking to hire a Senior DevOps Engineer to join our team and improve our ML development pipeline and processes. A successful candidate may either be an…
Added 1 month ago
Project Manager, Digital Operations - Diabetes Care (Mississauga)
Abbott
Mississauga, ON
$130,000 to $170,000 CAD / year
Full-time
…platform observability, to ensure that cloud services, APIs, developer platforms, and AI workloads are delivered efficiently, reliably, and within defined budget envelopes. You will also…
Added 3 months ago
Full Stack Developer
Kumaran Systems
Toronto, ON
Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…
Added 2 months ago
AI Platform Engineer – DevOps
Synechron
Halifax, Nova Scotia
$85,000 to $100,000 CAD / year
Full-time
Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
Added 2 months ago
Full Stack Developer
Kumaran Systems
Toronto, Ontario
Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…
Added 1 month ago
Principal Software Engineer
DAT
Mississauga, ON
…iOS and Android. We work in an agile environment with modern DevOps practices built around Git-based…
Added 1 month ago
Senior Machine Learning Software Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
Full-time
We’re looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services…
Added 2 months ago
Senior Data Engineer
ShyftLabs
Toronto, ON
Full-time
Added 1 month ago
Technology Strategy & Transformation- Senior Consultant - Ottawa
EY
Ottawa, ON
…all while considering the disruptive technology trends (e.g. DevOps, Agile, AI/ML, Cloud, APIs) which are prevalent in today’s…
Added 1 month ago
Machine Learning Software Engineer
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
RBC Borealis is looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial…
Added 2 months ago
Associate Director, Quality Engineering (12 Months contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
Cross-Functional Collaboration: Work closely with product management, development, and DevOps teams to ensure that testing efforts align with business objectives and product delivery…
Added 1 month ago
CCaaS Solution Architect - Amazon Connect
Accenture
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
Implement CI/CD, infrastructure as code, and DevOps practices.
Added 3 months ago
Sr. Solutions Architect
Rafay
Toronto, Ontario
Full-time
7+ years of experience in Solutions Architecture, DevOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or related fields.
Added 2 months ago
Applied AI Lead - Calgary
Sia
Calgary, AB
Full-time
Familiarity with DevOps/MLOps practices such as CI/CD, monitoring, or model evaluation

ShyftLabs

Senior Data Engineer

Toronto, ON, Canada

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

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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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