Technical Lead Data (TGQF)

Stack

Responsibilities

• ▹Collaborate with architects on designing new data products and services, proposing robust and scalable solutions
• ▹Participate in implementing the target data architecture and drive its adoption across teams
• ▹Serve as the subject matter expert for data, data architectures and data processing pipelines
• ▹Provide technical leadership across all Quality Foundations products on data storage, modeling, governance and processing
• ▹Define, maintain and promote data standards and best practices, ensuring consistent application
• ▹Propose, review and validate technical and architectural decisions through Architecture Decision Records (ADRs)
• ▹Actively contribute to initiatives involving the highest levels of complexity or risk
• ▹Advise architects, project managers and leaders on technology directions and platform improvements
• ▹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, AI and operations teams to ensure seamless integration of data solutions
• ▹Ensure the technical quality of data pipelines and promote monitoring, alerting and operations best practices
• ▹Foster knowledge sharing, mentorship and technical autonomy within data development teams
• ▹Participate in the technical evaluation of new technologies, platforms and data-related approaches

Requirements

• ▹Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or an equivalent field
• ▹Minimum 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
• ▹Strong expertise in large-scale data solution development and SQL/NoSQL data modeling
• ▹Strong proficiency in one or more of 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, environment-agnostic solutions (dev/staging/production), including pipeline-as-code and configuration management
• ▹Ability to design scalable, high-performance and maintainable solutions
• ▹Experience documenting architectural and technical decisions

Nice to have

• ▹Knowledge of cloud services (AWS, Azure or equivalent) plus Docker and Kubernetes
• ▹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 AI concepts
• ▹Experience in high-volume, real-time critical systems environments (telemetry, observability, monitoring) is a significant asset

Soft skills

About the company

Quality Foundations (QF) at Ubisoft develops cross-functional products, platforms and services that enhance the quality, observability, performance and operations of Ubisoft games through data, analytics and AI.