Company Description
Quality Foundations (QF) develops and operates cross-functional products, platforms, and services to improve the quality, observability, performance, and operation of Ubisoft games through data, analytics, and artificial intelligence. In this context, the Data Technical Lead plays a key role in defining and evolving the data foundations that support QF's various products.
The incumbent is the technical reference for all issues related to data, data architectures, and analytical platforms within Quality Foundations. They act as the primary expert to ensure the design, evolution, and operation of robust, high-performance, and scalable data solutions that meet the needs of development, production, analytics, and artificial intelligence teams.
Working closely with architects, development teams, and product managers, they contribute to defining, implementing, and evolving the organization's target data architecture. They ensure the application of technical best practices, the consistency of solutions across the entire Quality Foundations product portfolio, and the alignment of initiatives with the company's strategic directions.
Job Description
What you will do
The main and regular tasks of the Data Technical Lead are:
- Collaborate with architects and contribute to the design of new data products and services by proposing robust, scalable solutions aligned with the organization's needs.
- Participate in the implementation of the target data architecture and ensure its adoption within the teams.
- Act as the point of reference for all questions related to data, data architectures, and processing pipelines.
- Provide technical expertise to all Quality Foundations products regarding data storage, modeling, governance, and processing.
- Define, maintain, and promote data standards and best practices within QF, and oversee their application across teams.
- Propose, review, and validate technical and architectural decisions through Architecture Decision Records (ADR), and ensure the adoption of accepted decisions within the teams.
- Actively participate in the development and execution of initiatives with the highest levels of complexity or risk.
- Advise architects, project managers, and managers on technological directions and improvements to be made to data platforms.
- Analyze and optimize the performance, cost, reliability, and scalability of data systems.
- Act as an expert in relational and non-relational database optimization.
- Collaborate with development, analytics, artificial intelligence, and operations teams to ensure the seamless integration of data solutions.
- Ensure the technical quality of data pipelines and promote best practices for monitoring, alerting, and operations.
- Foster knowledge transfer, mentoring, and the development of technical autonomy for data developers.
- Participate in technical evaluations of new technologies, platforms, or approaches related to data.
- Carry out all other related tasks.
Qualifications
What you bring
Education:
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or any other equivalent training.
Relevant experience:
- Minimum of 8 years of experience in software development or data engineering.
- Significant experience in designing and implementing large-scale data platforms.
- Experience in technical leadership, team support, or mentoring.
- Experience with distributed architectures and large-scale data processing systems.
Skills and knowledge:
Technical expertise
- Excellent mastery of large-scale data solution development and SQL and NoSQL data modeling.
- Excellent mastery of one or more of the following languages: Python, PySpark, SQL, and Scala.
- Solid understanding of modern data architectures, processing pipelines, and analytical platforms, including medallion architectures (Bronze/Silver/Gold) and lakehouse platforms (Databricks, Delta Lake).
- Experience in designing configurable and environment-agnostic solutions (dev/staging/prod), with a mastery of pipeline as code and configuration management practices.
- Ability to design scalable, high-performance, and maintainable solutions.
- Experience in documenting architectural and technical decisions.
Technical assets
- Knowledge of cloud services (AWS, Azure, or others), 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 (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 system administration as well as relational and non-relational databases.
- Knowledge of monitoring, logging, and alerting systems for data pipelines.
- Understanding of concepts related to machine learning and artificial intelligence.
- Experience in a context of critical systems with high volumes of real-time data (telemetry, observability, monitoring) is a significant asset.
Professional skills
- Excellent analytical and synthesis skills.
- Strong ability to solve complex problems.
- Aptitude for mentoring and developing the technical autonomy of team members.
- Sensitivity to configuration-oriented approaches: preference for parameterizable systems, declarative pipelines, and reproducible deployments (infrastructure as code).
- Excellent communication and technical popularization skills.
- Influential leadership and ability to mobilize teams around best practices.
- Ability to work effectively in a multidisciplinary environment.
- Sense of initiative and autonomy.
- Results-oriented and focused on continuous improvement.
- Ability to manage multiple issues simultaneously and establish the right priorities.
Additional Information
About us
Ubisoft teams consist of 20,000 people in more than 30 countries around the world and are united by a common mission: to enrich the lives of players through original and memorable gaming experiences. Their energy and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come.
Ubisoft is an equal opportunity employer and believes that diversity of backgrounds and perspectives is essential to creating worlds that allow everyone to flourish and express themselves.
Working at Ubi MTL means enjoying a work environment that awakens creativity and fosters connection. We offer a collaborative space focused on professional advancement, learning opportunities, and well-being (our significant social benefits are proof of this!).
If you are enthusiastic about taking on exciting challenges, leveraging the latest technologies, and taking part in the future of entertainment, join us to create the unknown.
At Ubisoft, you are welcome as you are. We embrace diversity in all its forms. We are committed to fostering an inclusive and respectful work environment for all differences.