Jobs in Canada

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Added 11 hours ago
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Staff AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate…
Added 11 hours ago
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Consulting Manager-Project Manager (RTE), Life Sciences Manufacturing Consulting
Cognizant
Halifax, NS
- Full-time
Direct experience with OEE, Golden Batch, process performance analytics, digital batch record transformation, PAT, or advanced manufacturing initiatives.
Added 17 hours ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 17 hours ago
NT
Senior AI/ML Software Engineer – Localization
NEARSOURCE TECHNOLOGIES
Vancouver, BC
- Full-time
Job Title: Senior AI/ML Software Engineer – Localization
Added 17 hours ago
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Localization Software Engineer
Applicantz
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
Top 3 Must haves:
Added 17 hours ago
QF
Senior Data Engineer
Questrade Financial Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As part of the Brokerage Engineering organization, the Senior Data Engineer is accountable for the technical design, development, and operational excellence of scalable data pipelines and…
Added 18 hours ago
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DEVOPS ENGINEER
Kablamo
Toronto, ON
- Full-time
Experience with AWS’s Big Data & Analytics services, such as Glue, Redshift etc.
Added 18 hours ago
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Senior Cloud Engineer - Product Metrics
ClickHouse
Remote, Canada
- $155,000 to $230,000 CAD / year
- Full-time
- Remote
…millions of new events every second, owning its reliability, performance and availability. Our stack is built using Golang, runs in Kubernetes, and is, of course, stored in ClickHouse. The…
Added 18 hours ago
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Analytics Specialist SE (Commercial FINS & Canada) - Senior/Lead Solution Engineer
Salesforce Partner Canada
Vancouver, BC
- Full-time
We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and…
Added 18 hours ago
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Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
- Full-time
We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud…
Added 19 hours ago
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Senior Data Engineer
Luxoft
Toronto, ON
- Contract
We are looking for an experienced Senior Data Engineer to support the onboarding, integration, and operationalization of datasets used by Middle Office functions.
Added 19 hours ago
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Infrastructure Engineer, Junior / New Grad (Toronto)
DataVisor
Remote, Canada
- $80,000 to $120,000 CAD / year
- Full-time
- Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 19 hours ago
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Senior Infrastructure Engineer - Toronto
DataVisor
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 19 hours ago
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Full Stack Engineer
Mission.dev
ON · Ontario, Canada
- $200,000 to $280,000 CAD / year
- Full-time
Willingness and ability to work on-site in San Francisco, five days per week
Added 19 hours ago
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Senior Oracle Database Developer
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
Job Title: Senior Oracle Database Developer/Data Engineer
Added 19 hours ago
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Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Identification and tracking of performance, coaching, training needs, and motivating members of the Data Systems team - including Senior Technical Leads. Directly or indirectly responsible…
Added 20 hours ago
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RQ00781 - Senior Full-Stack .NET Developer (React and Azure)
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
Manager Notes Must Haves: (Certifications are highly preferred)
Added 20 hours ago
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Software Engineer III - Salesforce Data 360
TD
Toronto, ON
- Full-time
We are looking for a data solution designer specialized in Salesforce Data 360. The ideal candidate has SF D360 experience at the senior level, and guide others in D360 development and…
Added 20 hours ago
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Senior Analytics Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We are seeking a talented and experienced Senior Data Analyst / Analytics Engineer with deep expertise in Tableau, Google BigQuery, Snowflake, and modern semantic data modeling (LookML /…
Added 20 hours ago
M
Senior Full Stack AI Engineer/Ingénieur(e) principal(e), Full Stack et intelligence artificielle (IA)
Manulife
Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
The Senior Software Engineer – Canada Retirement (AI/ML & Agentic SDLC) designs, builds, and maintains applications and services that support Manulife’s Canadian Retirement business. This…
Added 21 hours ago
T
Senior Software Engineer - AI Localization & NLP
Techedin
Vancouver, BC · Greater Vancouver, BC
- $65 to $75 CAD / hour
- Full-time
Job Title: Senior Software Engineer - AI Localization & NLP
Added 21 hours ago
T
AI/ML Software Engineer - Localization Engineering
Techedin
Vancouver, BC · Greater Vancouver, BC
- $65 to $75 CAD / hour
- Full-time
We are hiring for a Senior Software Engineer - AI Localization & NLP to work on a project focused on intelligent localization systems and AI-powered translation technologies. The selected…
Added 21 hours ago
GT
Site Reliability Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $98 CAD / hour
- Contract
Onsite Flexibility: Hybrid - 4 days per week on-site · Hybrid work model - 4 days per week on-site in Toronto, ON
Added 21 hours ago
A
AI/ML Software Engineer-Localization Engineering
Applicantz
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
Top 3 Must haves:
Added 21 hours ago
T
Senior Software Engineer - AI Localization & NLP
Techedin
Vancouver, BC
- $65 to $75 CAD / hour
- Full-time
Job Title: Senior Software Engineer - AI Localization & NLP

Stacktics

Head of Data Systems (Google Stack)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 13, 2026
Posting language: English
Posted: Nov 13, 2026

Original job description

The Head of Data Systems (Google Stack) will play a key role at Stacktics, required to help create and maintain industry-leading quality and efficiency of service and software delivery.

Stacktics will rely on the Head of Data Systems with ownership of the Data Systems function including mentoring and support for our team of engineers, developers, marketing analysts and data scientists. The successful candidate will be expected to meet and exceed Stacktics' quality standards, while helping the organization rapidly expand into increasingly complex application development, data engineering, and related workflows.

KEY RESPONSIBILITIES

Ownership of Stacktics' Data Systems Business Unit

Build and grow your team's capabilities and expertise to be truly platform-agnostic, ever-adapting based on opportunity and business direction
Lead thorough audits of clients'/prospects' Data Systems, and other associated platforms and technologies as applicable including performance and cloud cost-efficiency
Provide proactive recommendations, identifying areas of opportunity and/or improvement for clients based on their underlying business objectives and goals
Maintain continuous focus on work output quality and reliability, acting as the champion of customer satisfaction in a proactive manner and as the final escalation point for technical and delivery issues that cannot be resolved at the Technical Lead level
Act as Stacktics' primary Data Systems expert, ensuring to maintain and continuously grow personal expertise, and sharing information with other Stacktics team members, client stakeholders and prospects
Collaborate with, support, and work closely with cross-functional units to ensure efficient workflow, and realize cross-functional opportunities and enhancements
Maintain responsibility for the Business Unit's growth and success, continuously developing existing engagements, optimizing resourcing and prospecting
Be dedicated to the success and happiness of your team members, optimizing workflow, enabling their personal growth, and acting as a strong team leader overall

Instilling Development Best Practices and Skills/Procedures Advancement

Establishing, maintaining and evolving DevSecOps best practices and tools, and continuously keeping them aligned with current industry best practices and procedures
Understanding, implementing and automating security controls, governance processes, and compliance validation frameworks
Contributing to deployment tooling within the Stacktics team
Contributing to version control technology frameworks and creating/implementing working processes within the Data Systems team, with tools such as Git or SVN
Own and continuously improve the practice's AI coding standards, the AI coding constitution (CLAUDE.md, GEMINI.md, .cursorrules), PR checklists, and slash commands keeping them current as tools, clients, and the team's needs evolve

Leading in the Software 3.0 Era

AI tools have changed how fast engineering work gets produced. Your job is to make sure that speed shows up as sounder architecture and higher-quality delivery - not just faster shipping of the same judgment gaps.

Recalibrate how the team scopes and estimates work as AI tooling changes what can actually be delivered in a sprint, so timelines and resourcing plans reflect real AI-era delivery speed
Set architecture and coding standards that assume engineers are using AI assistants daily - code review habits, eval frameworks, and quality gates sized to the failure modes of AI-assisted development, not just its speed
Continue evolving Stacktics' AI Development Lifecycle (ADLC) - our AI-native answer to SDLC - piloting new stages against real engagements and driving adoption across the team
Be an active daily user of AI coding assistants yourself, and bring that firsthand experience into how standards and review practices are set for the team
Lead Stacktics’ technical team members through the integration into Agentic AI-first working patterns, and beyond

Code Productization

Migrating the delivery of the most common/universally applicable solutions from custom projects to formally productized software solutions
Advocating for building repeatability, scalability and standardization into how the Stacktics Data Systems team approaches all work, in order to enable the future migration to productization as a general rule

Data Engineering-Specific Responsibilities

Participate in continuous delivery pipelines to fully automate deployment of the highly available cloud platform that supports multiple projects
Design and develop ETL workflows and datasets to be used in data visualization tools
Write complex SQL queries with multiple joins to automate and manipulate data extracts
Perform end to end Data Validation to maintain accuracy of data sets
Build tools for deployment, monitoring and operations
Troubleshoot and resolve issues in the development, test and production environments
Develop re-usable processes that can be leveraged and standardized for multiple instances
Prepare technical specifications and documentation for projects
Stay up to date on relevant technologies, plug into user groups, understand trends and opportunities to ensure we are using the best possible techniques and tools
Understand, implement, and automate security controls, governance processes, and compliance validation

Contribution to Corporate Strategy

Actively and proactively play a key role in steering Stacktics and affiliated companies, considering market developments, competitive maneuvers, unique opportunities, etc.
You will be expected to both bring new ideas to the table and assist other corporate leaders in vetting/developing concepts and tactics
Identification and tracking of performance, coaching, training needs, and motivating members of the Data Systems team - including Senior Technical Leads. Directly or indirectly responsible for hiring, terminating and owning performance evaluations for direct reports and the Data Systems group

Company-Wide Responsibilities

Maintain and exceed client satisfaction with Stacktics’ deliverables, day-to-day work and overall value as a partner
Adapt to ever-changing client needs and expectations
Maintain dedication toward achieving excellence in Stacktics’ delivery against client needs, and overall success as an organization
Ability to provide clear guidance and support for advanced problem solving and system design to large teams at enterprise-level client companies, aiding the evolution of their digital practices

QUALIFICATIONS

Deep expertise in building and managing large-scale data systems on cloud platforms, with a strong preference for Google Cloud Platform (GCP) services
Python, SQL and Cloud Computing
10+ years experience in Data Engineering, including 6+ years in technical leadership or management roles, with experience managing other leads (e.g., Technical Leads or engineering managers).
Strong understanding of and direct experience with managing a team operating in a “Software 3.0” model (Agentic AI-first)
Active user of AI coding assistants (Copilot, Cursor, Claude Code, or equivalent), and fluent in what they change about estimation, architecture, and review
Understanding of digital ecosystems including online data collection, cloud systems and analytics tools (Google Stack, Facebook, Salesforce, Adobe Suite etc.) a strong asset
Strong technical understanding of a range of marketing concepts such as cookie-based data collection, setting and leveraging audience segments, attribution modelling, AB/N & multivariate is an asset
Excellent written & verbal communication skills are essential; candidate should be comfortable presenting and participating in group discussions of concepts with internal and external stakeholders
Candidate must exhibit an analytical, detail-oriented approach to problem solving
Experience with Jira / Atlassian project management tools is an asset

Preferred Qualifications

Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer) are a strong plus.
Prior experience in a consulting environment, managing and delivering projects for multiple clients concurrently.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the Data Systems business unit, developing the team and overseeing client audits, cloud efficiency, technical delivery, security practices, and customer satisfaction. Advance AI-first engineering practices, productize repeatable solutions, guide data engineering work, and contribute to business strategy and team performance.

Requirements

Requires 10+ years of data engineering experience, including 6+ years in technical leadership or management and experience managing technical leads or engineering managers. Candidates should have deep cloud data systems expertise, preferably with Google Cloud Platform, strong Python and SQL skills, and hands-on experience with AI coding assistants and AI-first engineering practices.

Skills

Data Engineering
Google Cloud Platform
Python
SQL
Cloud Computing
Technical Leadership
Team Management
AI-Assisted Development
DevSecOps
ETL Workflows
Data Validation
Software Architecture
CI/CD
Security and Compliance
Project Management

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Google Stack
Python
SQL
Cloud Computing
Data Engineering
ETL
Data Validation
DevSecOps
CI/CD
Git
SVN
AI Coding Assistants
Agentic AI
Software 3.0
AI Development Lifecycle
Cloud Cost Optimization
Security Controls
Governance
Compliance Validation
Data Visualization
Marketing Analytics
Attribution Modeling
Audience Segmentation
Google Cloud Certifications
Jira
Atlassian
Productization
Consulting

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Jobs in Canada