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 Technical Data 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 matters, data architectures and analytics platforms within Quality Foundations. They act as the principal 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.
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 usual responsibilities of the technical data lead are:
- Collaborate with architects and contribute to the design of new data products and services, 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 adoption of accepted decisions across teams.
- Actively take part in developing and delivering 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 optimizing 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 best practices in monitoring, alerting and operations.
- Foster knowledge transfer, mentoring and the development of technical autonomy among 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 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 mastery of pipeline-as-code and configuration management practices.
- 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-volume data systems 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, high-volume real-time data systems (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 skills and ability to explain technical topics to non-specialists.
- Influential leadership and ability to rally 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: 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 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 advancement, learning opportunities and well-being (our substantial benefits attest to this!).
If you are excited about taking on thrilling 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 respects all differences.