indeed
Technical Lead Data (TGQF)
Ubisoft
Montréal, CAN
Full Time
Lead
2 days ago
PythonPySparkSQLScalaDatabricksDelta Lake
Free
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PythonPySparkSQL
About the Role
Ubisoft's Quality Foundations team seeks a Lead Data Technical to define and evolve data foundations for analytics and AI. You will design scalable data architectures, lead technical decisions, and mentor teams.
Key Skills for This Role
PythonPySparkSQLScalaDatabricksDelta Lake
Responsibilities
- Collaborate with architects to design new data products and services
- Participate in implementing target data architecture and drive adoption across teams
- Serve as subject matter expert for data, data architectures, and data processing pipelines
- Provide technical leadership across Quality Foundations products regarding data storage, modeling, governance, and processing
- Define, maintain, and promote data standards and best practices
- Propose, review, and validate technical and architectural decisions through ADRs
- Actively contribute to development and delivery of high complexity initiatives
- Analyze and optimize performance, cost efficiency, reliability, and scalability of data systems
- Act as subject matter expert in relational and non relational database optimization
- Foster knowledge sharing, mentorship, and technical autonomy within data development teams
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent
- 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
- Strong expertise in SQL/NoSQL data modeling
- Proficiency in Python, PySpark, SQL, and Scala
- Experience with Medallion architectures and Lakehouse platforms (Databricks, Delta Lake)
- Experience with cloud services (AWS, Azure) and containerization (Docker, Kubernetes)
- Knowledge of data orchestration frameworks (Apache Airflow, Databricks Workflows)
- Knowledge of real time data streaming (Spark Structured Streaming)
Full Job Posting
Company Description
- Quality Foundations (QF) develops cross functional products enhancing quality, observability, performance, and operations of Ubisoft games through data, analytics, and AI.
- The Lead Data Technical defines and evolves data foundations supporting QF's products.
What you'll do
- Collaborate with architects to design new data products and services.
- Participate in implementing target data architecture and drive adoption.
- Serve as subject matter expert for data, architectures, and pipelines.
- Provide technical leadership on data storage, modeling, governance, and processing.
- Define and promote data standards and best practices.
- Propose and validate technical decisions via Architecture Decision Records.
- Contribute to high complexity initiatives.
- Advise on technology directions and opportunities.
- Optimize performance, cost, reliability, and scalability of data systems.
- Act as expert in relational and non relational database optimization.
- Collaborate with development, analytics, AI, and operations teams.
- Ensure technical quality of data pipelines and promote monitoring best practices.
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent.
- Minimum 8 years of experience in software development or data engineering.
- Significant experience designing large scale data platforms.
- Experience in technical leadership, coaching, or mentorship.
- Experience with distributed architectures and large scale data processing.
Skills and Knowledge
- Strong expertise in large scale data solution development and SQL/NoSQL data modeling.
- Proficiency in Python, PySpark, SQL, and Scala.
- Understanding of Medallion architectures and Lakehouse platforms (Databricks, Delta Lake).
- Experience designing configurable, environment agnostic solutions.
- Ability to design scalable, high performance, maintainable solutions.
- Experience documenting architectural decisions.
- Knowledge of cloud services (AWS, Azure), Docker, and Kubernetes.
- Knowledge of data orchestration (Apache Airflow, Databricks Workflows).
- Knowledge of real time streaming (Spark Structured Streaming).
- Knowledge of Databricks, Apache Spark, Delta Lake, Elasticsearch/OpenSearch, SQL Server, PostgreSQL.
- Knowledge of monitoring, logging, and alerting for data pipelines.
- Understanding of machine learning and AI concepts.
Professional Competencies
- Excellent analytical and problem solving skills.
- Strong ability to solve complex technical challenges.
- Aptitude for mentoring and fostering technical autonomy.
- Strong appreciation for configuration driven approaches.
- Excellent communication skills.
- Influential leadership and ability to drive adoption of best practices.
- Ability to work in a multidisciplinary environment.
- Strong initiative and autonomy.
- Results oriented mindset with focus on continuous improvement.
- Ability to manage multiple priorities.
About Us
- Ubisoft's teams consist of 20,000 people across more than 30 countries.
- United by a mission to enrich gamers' lives through original gaming experiences.
- Franchises include Assassin's Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six.
- Ubisoft is committed to equal opportunity and diversity.
- Working at Ubi MTL offers a collaborative environment focused on growth and well being.
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