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Added 8 days ago
M
Data Scientist II (6-Month Term, Potential Extension)
Metrolinx
Canada
- Full-time
…subsidy plans across the company and are regularly presented to Senior Management, MTO and the Minister’s Office for evidence-based decision…
Added 8 days ago
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Area Geophysicist (Thermal)
Canadian Natural
Calgary, AB
- Full-time
Canadian Natural is seeking a well-rounded intermediate to senior Thermal Geophysicist with strong technical and communication skills to join our Thermal Exploration team. This role offers…
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HI
Senior Analyst, Investment Analytics and AI Automation
Hillsdale Investment Management Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Senior Analyst, Investment Analytics & AI Automation
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Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 8 days ago
B
Senior Application Developer/Engineer
Bevertec
Toronto, ON
- Contract
Added 8 days ago
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Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
…and motivating members of the Data Systems team - including Senior Technical Leads. Directly or indirectly responsible for…
Added 8 days ago
B
Senior DevOps Engineer
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- Contract
Position Title: RQ00813 - Senior DevOps / Cloud Engineer
Added 8 days ago
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Spring Boot Technical Consultant
KTek Resourcing
Montreal, QC
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Experience with Python and Spring Boot and REST API development
Added 8 days ago
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Technology Lead Analyst – Infrastructure Orchestration
Citi
Mississauga, ON
- Full-time
The Technology Lead Analyst – Infrastructure Orchestration is a senior-level position within Citi's Technology Infrastructure group, responsible for leading the design, architecture, and…
Added 8 days ago
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Senior Conversational Bot Engineer
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- Full-time
Proficiency in at least one of the following: Python, Node.js
Added 8 days ago
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Data & Analytics Architect
HRConnects
Toronto, ON
- Full-time
We’re seeking an experienced senior professional to lead the design and implementation of enterprise data, analytics, and AI platforms using AWS and Databricks. This hybrid role combines…
Added 8 days ago
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Professional Senior, Engineering - Aircraft Structural Dynamics
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Risk Modelling Services, Actuarial, Life Manager
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Developpeur native IA/Python (Senior)
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- Full-time
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Developpeur native IA/Python (Senior)
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- Full-time
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Digital Transformation and Technology Business Analyst
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Data Analyst
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- A senior team that has scaled companies before.
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SQA Automation Analyst
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- Full-time
The SQA Automation Developer is responsible for designing, developing, and maintaining automated test solutions that ensure product quality across multiple platforms and systems. This role…
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SQA Automation Analyst
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The SQA Automation Developer is responsible for designing, developing, and maintaining automated test solutions that ensure product quality across multiple platforms and systems. This role…
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Data Analyst
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Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
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Stacktics

Head of Data Systems (Google Stack)

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 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 About employer

More about this job

Responsibilities

Lead Stacktics' Data Systems business unit, managing and developing the team while overseeing client audits, technical delivery, quality, and business growth. Establish engineering, DevSecOps, and AI-assisted development standards; guide data engineering and productization efforts; and contribute to corporate strategy and client success.

Requirements

Requires 10+ years of data engineering experience, including 6+ years in technical leadership or management, with 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 agentic AI-first engineering practices.

Skills

Data Engineering
Google Cloud Platform
Python
SQL
Cloud Computing
Technical Leadership
Team Management
ETL Development
DevSecOps
AI-Assisted Development
Software Architecture
Data Validation
Security Governance
Project Delivery
Productization

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Python
SQL
Cloud Computing
Data Engineering
ETL
Data Validation
DevSecOps
Git
SVN
AI Coding Assistants
Agentic AI
Software 3.0
AI Development Lifecycle
Continuous Delivery
Cloud Cost Optimization
Security Controls
Governance
Compliance Validation
Data Visualization
Jira
Google Cloud Certifications
Professional Cloud Architect
Professional Data Engineer
Marketing Analytics
Attribution Modeling
Audience Segmentation
A/B Testing
Multivariate Testing
Productization

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