Principal Data Engineer

At Wizards of the Coast we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering and Dungeons & Dragons to our growing multiverse we continue to innovate and build new ways to foster friendship and connection. Thats where you come in!

Do you have a passion for data Then we are looking for you! We are seeking a highly qualified and forward-thinking Principal Data Engineer to join our high-visibility Technology Analytics team that is helping Hasbro better reach consumers with compelling products and entertainment! This leadership role is crucial in shaping the architecture design and delivery of scalable high-performance data solutions that power analytics machine learning and operational workloads across the organization.

This Principal Data Engineer will serve as a technical leader mentor and strategic partner guiding cross-functional teams through complex data initiatives and ensuring alignment with our long-term data strategy. You will partner closely with data scientists analysts platform engineers and collaborators to create resilient and future-ready data pipelines and systems.

What Youll Do:

• Architect and Design: Lead the architectural design and development of scalable data pipelines and systems
• End-to-End Data Ownership: Oversee the entire data lifecyclefrom ingestion to consumptionensuring quality reliability and performance.
• Technology Leadership: Drive best practices in our stack including Snowflake DBT Airflow Confluent Kafka and Databricks across AWS and Azure cloud platforms.
• Mentorship and Guidance: Provide technical leadership and mentorship to data engineers; establish coding standards conduct peer reviews and promote knowledge sharing practices. Lead and participate in pull request reviews to uphold engineering standards and mentor contributors.
• Innovation & Strategy: Evaluate emerging technologies and make recommendations to enhance our data infrastructure and strategy.
  
  

What youll bring:

• 5 years of hands-on experience in data engineering or a related field with at least 3 years in a lead or principal role.
• Expert knowledge in:
• Data Lake & Warehousing: Snowflake Databricks (Delta Lake) or equivalent
• ETL/ELT & Transformation: DBT Spark
• Orchestration: Airflow Databricks Asset Bundles
• Streaming: Confluent Kafka Kafka Streams or equivalent
• Cloud Platforms: Strong experience with AWS and Azure
• Strong proficiency in SQL and Python
• Familiarity with CI/CD and infrastructure-as-code principles.
• Proven track record of leading multi-functional technical initiatives and mentoring engineers.
• Proficiency in integrating AI solutions into new and existing technologies to improve efficiency streamline operations and elevate the consumer experience is required.
• Self-starter with a passion and curiosity for solving unstructured data problems and ability to manipulate and optimize large data sets.
• Knowledge of metadata management data lineage and principles of data governance.
• Hands-on experience with real-time data processing and event-driven architectures
• Excellent written and verbal communication skills experience working with business and senior leaders.
• Bachelors or masters degree in computer science information systems or related field.