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Added 5 months ago
S
Java Developer
Synechron
Montreal, Quebec
- $85,000 to $95,000 CAD / year
- Full-time
We are seeking a skilled and proactive Java Developer to join our dynamic team. The ideal candidate will participate in all phases of the Software Development Life Cycle (SDLC), deliver…
Added 4 months ago
T
Structurer
TradingHub
Toronto, Ontario
- Full-time
Hands-on skills in a programming/scripting language such as SQL, Python, C#
Added 4 months ago
C
Jr Data Engineer - Custom Solutions
Citylitics
Toronto, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
…already use, including GCP services like Cloud Composer, Cloud SQL, and…
Added 3 months ago
CT
Business Analyst - EDI
Creation Technologies
Vancouver, BC
- Full-time
Familiarity with SQL, XML, and JSON; experience with ERP-integrated EDI is essential.
Added 3 months ago
T&
Power Platform Developer - Digital
Turner & Townsend
Calgary, AB
- Full-time
Develop solutions leveraging Dataverse, SharePoint, SQL Server, and other standard/premium connectors.
Added 3 months ago
Forward Deployed Engineer, Supply Chain
Jetson Home
North Vancouver, BC
…TypeScript, Python, or other high-level language, comfortable with SQL, APIs, and cloud tooling, and you write code others can build on. You value breadth and speed over deep…
Added 3 months ago
U
Technical Lead Data (TGQF)
Ubisoft
Montreal, QC
- Full-time
Strong expertise in large-scale data solution development and SQL/NoSQL data modeling.
Added 2 months ago
PAM Solution Support Engineer
Scotiabank
Toronto, ON
Develop PowerShell and SQL scripts for monitoring task automation, system integration, data retrieval, and managing/extracting data within the PAM environment.
Added 2 months ago
Senior Product Manager - Auth0
Okta
Toronto, ON
A fierce curiosity, developer empathy, and strong collaboration skills are your keys to success.
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
…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…
Added 3 months ago
Software Developer - Core Data
Squarepoint Capital
Montreal, QC
Knowledge of SQL and experience with relational and/or time-series databases
Added 2 months ago
Senior Manager, Lifecycle Marketing
Zynga
Toronto, ON
Technical knowledge of HTML, SQL, and Content Management Systems like Braze/Leanplum/Moengage; CMS tool integration experience preferred.
Added 3 months ago
A
Oracle HCM Payroll Consultant
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Added 3 months ago
A
Oracle Comp and Benefits Consultant
Accenture
Mississauga, ON
- Full-time
Added 2 months ago
.Net Fullstack Developer
Capgemini
Mississauga, ON
…Angular, Node.js and related technologies. Experience with SQL Server is…
Added 1 month ago
DI
Python Developer
Dawn InfoTek
Toronto, ON
- Contract
Python Developer – Copilot & AI Agents, Digital Applications
Added 4 months ago
G
Spécialiste service client dédié / Dedicated Client Care Specialist (Contract)
Genetec
Montreal, Quebec
- Contract
Expérience de travail avec les bases de données SQL
Added 4 months ago
E
Senior Fullstack Engineer (Node. js)
Experity
Chiasson Office, NB
- Full-time
Strong experience with SQL databases (PostgreSQL, SQL Server).
Added 4 months ago
L
Java Developer with QA
LTM
Ontario · Ontario, Canada
- $85,000 to $120,000 CAD / year
- Full-time
Strong understanding and working knowledge of SQL and NoSQL databases with experience implementing automated data validations
Added 4 months ago
E
Senior Software Engineer, EMR Platform
Experity
Chiasson Office, NB
- Full-time
SQL Server - complex query design, stored procedures, index optimization
Added 4 months ago
E
Software Engineer II, EMR Platform
Experity
Chiasson Office, NB
- Full-time
Excellent knowledge of Relational Databases (SQL Server preferred but not required).
Added 6 months ago
SD
Java Developer
SWITS DIGITAL Private Limited
Mississauga, Ontario
- Full-time
Develop and optimize SQL queries (E2 level) for transactional and reporting use cases
Added 4 months ago
T
Senior AI Productivity Analyst, Data Analytics
Techedin
Toronto, Ontario
- $60 to $70 CAD / hour
- Full-time
Advanced SQL skills for querying, transforming, and analyzing large datasets.
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Ottawa, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…

Ubisoft

Technical Lead Data (TGQF)

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: Minimum of 8 years of experience in software development or data engineering.
Posting language: English
Posted: Jul 28, 2026

Original job description

Company Description

Quality Foundations (QF) develops and operates cross-functional products, platforms, and services that enhance the quality, observability, performance, and operations of Ubisoft games through data, analytics, and artificial intelligence. In this context, the Lead Data Technical plays a key role in defining and evolving the data foundations that support QF’s various products.

The incumbent serves as the primary technical authority for all matters related to data, data architectures, and analytics platforms within Quality Foundations. They act as the lead expert responsible for designing, evolving, and operating robust, scalable, and high-performance data solutions that meet the needs of development, production, analytics, and AI teams.

Working closely with architects, development teams, and product leaders, this role contributes to defining, implementing, and evolving the organization’s target data architecture. The incumbent ensures the adoption of technical best practices, promotes consistency across the Quality Foundations product portfolio, and aligns data initiatives with the company’s strategic objectives.

Job Description

What you'll do

Collaborate with architects and contribute to the design of new data products and services by proposing robust, scalable solutions aligned with organizational needs.
Participate in the implementation of the target data architecture and drive its adoption across teams.
Serve as the subject matter expert for all topics related to data, data architectures, and data processing pipelines.
Provide technical leadership and expertise across all Quality Foundations products regarding data storage, modeling, governance, and processing.
Define, maintain, and promote data standards and best practices within QF, ensuring their consistent application across teams.
Propose, review, and validate technical and architectural decisions through Architecture Decision Records (ADRs), and ensure adoption of approved decisions.
Actively contribute to the development and delivery of initiatives involving the highest levels of complexity or risk.
Advise architects, project managers, and leaders on technology directions and opportunities to improve data platforms.
Analyze and optimize the performance, cost efficiency, reliability, and scalability of data systems.
Act as a subject matter expert in relational and non-relational database optimization.
Collaborate with development, analytics, artificial intelligence, and operations teams to ensure seamless integration of data solutions.
Ensure the technical quality of data pipelines and promote best practices in monitoring, alerting, and operations.
Foster knowledge sharing, mentorship, and the development of technical autonomy within data development teams.
Participate in the technical evaluation of new technologies, platforms, and data-related approaches.
Perform any other related duties as required.

Qualifications

What you'll bring to the team

Education :

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or an equivalent field of study.

Relevant Experience :

Minimum of 8 years of experience in software development or data engineering.
Significant experience designing and implementing large-scale data platforms.
Experience in technical leadership, team coaching, or mentorship.
Experience with distributed architectures and large-scale data processing systems.

Skills and Knowledge :

Technical Expertise

Strong expertise in large-scale data solution development and SQL/NoSQL data modeling.
Strong proficiency in one or more of the following languages: Python, PySpark, SQL, and Scala.
Solid understanding of modern data architectures, data processing pipelines, and analytics platforms, including Medallion architectures (Bronze/Silver/Gold) and Lakehouse platforms (Databricks, Delta Lake).
Experience designing configurable and environment-agnostic solutions (development, staging, production), including pipeline-as-code and configuration management practices.
Ability to design scalable, high-performance, and maintainable solutions.
Experience documenting architectural and technical decisions.

Technical Assets

Knowledge of cloud services (AWS, Azure, or equivalent) as well as Docker and Kubernetes technologies.
Knowledge of data orchestration frameworks such as Apache Airflow or Databricks Workflows.
Knowledge of real-time data streaming technologies (Spark Structured Streaming or equivalent).
Knowledge of Databricks, Apache Spark (batch and streaming), Delta Lake, Elasticsearch/OpenSearch, SQL Server, and PostgreSQL.
Knowledge of large-scale data platform administration and both relational and non-relational databases.
Knowledge of monitoring, logging, and alerting systems for data pipelines.
Understanding of machine learning and artificial intelligence concepts.
Experience working in high-volume, real-time critical systems environments (telemetry, observability, monitoring) is considered a significant asset.

Professional Competencies

Excellent analytical and problem-solving skills.
Strong ability to solve complex technical challenges.
Aptitude for mentoring and fostering technical autonomy within teams.
Strong appreciation for configuration-driven approaches, including parameterized systems, declarative pipelines, and reproducible deployments (Infrastructure as Code).
Excellent communication skills and ability to explain complex technical concepts to diverse audiences.
Influential leadership and the ability to drive adoption of best practices across teams.
Ability to work effectively in a multidisciplinary environment.
Strong initiative and autonomy.
Results-oriented mindset with a focus on continuous improvement.
Ability to manage multiple priorities simultaneously and make sound prioritization decisions.

Contract: Permanent

Work flexibility: Office-based

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More about this job

Responsibilities

The Technical Lead Data will serve as the primary technical authority for data architectures and analytics platforms within Quality Foundations. They will design, evolve, and operate scalable data solutions while providing technical leadership and mentorship to development teams.

Requirements

Candidates must possess a bachelor's degree in a relevant technical field and at least 8 years of experience in software development or data engineering. Strong expertise in large-scale data platforms, SQL/NoSQL modeling, and modern data processing frameworks is required.

Skills

Data Engineering
Software Development
Python
PySpark
SQL
Scala
Data Architecture
Databricks
Delta Lake
Cloud Computing
Docker
Kubernetes
Apache Airflow
Data Modeling
Technical Leadership
Distributed Systems

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Software Development
Python
PySpark
SQL
Scala
Data Architecture
Databricks
Delta Lake
Cloud Services
AWS
Azure
Docker
Kubernetes
Apache Airflow
Data Modeling
Distributed Architectures
Medallion Architecture
Data Pipelines
Technical Leadership
NoSQL
PostgreSQL
SQL Server
Elasticsearch
OpenSearch
Machine Learning
Artificial Intelligence
Infrastructure as Code
Observability
Telemetry

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