Technical Lead Data (TGQF)

## 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** The primary and recurring responsibilities of the Lead Data Technical include : - 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 **Lake…