Company description
Quality Foundations (QF) develops and operates cross-functional products, platforms and services that 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 supporting QF's various products.
The holder of this position is the technical reference for all data-related challenges, data architectures and analytics platforms within Quality Foundations. They act as the main expert to ensure the design, evolution and operation of robust, high-performing and scalable data solutions that meet the needs of development, production, analytics and artificial intelligence teams.
In close collaboration with architects, development teams and product managers, they help define, implement and evolve the organization's target data architecture. They ensure the application of technical best practices, the consistency of solutions across Quality Foundations' entire product portfolio, and the alignment of initiatives with the company's strategic direction.
Job description
What you will do
The main and usual responsibilities 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.
- Take part in implementing the target data architecture and ensure its adoption across teams.
- Act as the go-to person 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 (ADRs), and ensure accepted decisions are adopted within teams.
- Actively take part in the development and delivery of initiatives with the highest levels of complexity or risk.
- Advise architects, project managers and managers on technology direction and improvements to data platforms.
- Analyze and optimize the performance, costs, reliability and scalability of data systems.
- Act as an expert in the optimization of relational and non-relational databases.
- 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 good monitoring, alerting and operational practices.
- Foster knowledge transfer, mentoring and the technical autonomy of data developers.
- Take part in technical evaluations of new technologies, platforms or approaches related to data.
- Perform any other related tasks.
Qualifications
What you bring
Education:
- Bachelor's degree in computer science, computer engineering, software engineering or any other equivalent field
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, coaching teams or mentoring.
- Experience with distributed architectures and large-volume data processing systems.
Skills and knowledge:
Technical expertise
- Excellent command of developing large-volume data solutions and of SQL and NoSQL data modeling.
- Excellent command of one or more of the following languages: Python, PySpark, SQL and Scala.
- Solid understanding of modern data architectures, processing pipelines and analytics platforms, including medallion architectures (Bronze/Silver/Gold) and lakehouse platforms (Databricks, Delta Lake).
- Experience designing configurable and environment-agnostic solutions (dev/staging/prod), with a command of pipeline-as-code practices and configuration management.
- Ability to design scalable, high-performing and maintainable solutions.
- Experience 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 administering large-scale data systems as well as relational and non-relational databases.
- Knowledge of monitoring, logging and alerting systems for data pipelines.
- Understanding of machine learning and artificial intelligence concepts.
- Experience in a critical systems context with high-volume 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.
- Affinity for configuration-driven approaches: preference for parameterizable systems, declarative pipelines and reproducible deployments (infrastructure as code).
- Excellent communication and technical explanation skills.
- Influential leadership and ability to mobilize teams around best practices.
- Ability to work effectively in a multidisciplinary environment.
- Initiative and autonomy.
- Results-oriented and committed to continuous improvement.
- Ability to manage multiple priorities simultaneously and set the right priorities.
Additional information
About us
Ubisoft's teams comprise 20,000 people across more than 30 countries around the world, united by a common mission: enriching 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 company committed to equal opportunity and believes that diversity of backgrounds and perspectives is essential to creating worlds where everyone can thrive and express themselves.
Working at Ubi MTL means enjoying a work environment that sparks creativity and fosters connection. We offer a collaborative space focused on career growth, learning opportunities and well-being (our substantial benefits are proof of it!).
If you are excited by the prospect of tackling 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 welcome diversity in all its forms. We are committed to fostering an inclusive and respectful work environment that honors all differences.