Manager, Data Engineering

Get to know The Pokémon Company International

The Pokémon Company International, a subsidiary of The Pokémon Company in Japan, manages the property outside of Asia and is responsible for brand management, licensing, marketing, the Pokémon Trading Card Game, the animated TV series, home entertainment, and the official Pokémon website. Pokémon was launched in Japan in 1996 and today is one of the most popular children's entertainment properties in the world.

Learn more online at corporate.pokemon.com and pokemon.com.

Get to know the role

• Job Title: Manager, Data Engineering

• Job Summary: We are looking for an experienced Manager of Data Engineering to lead our team in designing and implementing complex data solutions. This role will be responsible for leading a team who are responsible for our Data Platform infrastructure, design and orchestration of core data pipelines, and the proliferation of data across our Enterprise. As the Manager of Data Engineering, you will lead a team of growing engineers who will enable real-time data workflows that power analytics, business insights, and product experiences. This position will play a critical role in bridging technical execution with business outcomes, bringing clarity, consistency, and innovation to how we manage and leverage data across the organization.

• FLSA Classification (US Only): Exempt

• People Manager: Yes

 

What you’ll do

• Lead TPCi’s Data Platform team: Oversee the design, implementation and scaling of our data infrastructure, including ETL/ELT pipelines, data mart architecture, and data governance frameworks. 

• Own data modeling and architecture: define and maintain data modeling strategy for analytics, operations, and product workflows to ensure maintainability, accuracy and scalability. 

• Collaborate cross functionally and be a champion for the Data Platform team.  Leading with curiosity and delivering value to our partners through data. 

• Ensure data quality and observability: Establish SLAs, maintain reliability, integrity, and observability across all data environments, support consistent and trusted insights. 

• Establish engineering best practices: Implement and uphold best practices for testing, CI/CD, documentation, and cost optimization within the Data Platform. 

• Drive modernization and consistency: lead efforts in modernization, ensuring performance and reliability.   

• Innovate with AI driven tools where appropriate: evaluate and implement AI enhanced solutions for pipeline monitoring, schema validation and anomaly detection to improve efficiency and accuracy. 

• Build and maintain a strong, healthy, and diverse team by providing continuous mentorship and coaching. 

               

What you’ll bring

• 5+ years of industry experience and building distributed data systems. 

• 3+ years of Software Engineering or Data Engineering management experience. 

• Strong cross collaboration skills that bridge technical execution with business outcomes and proven outcomes when delivering data to a broad range of business partners.   

• Track record of leading or managing high performing teams  

• Strong facilitation skills (design, requirements gathering, progress and status) 

• Passion for data, automation and leveraging agile software development methodologies. 

• A track record of recruiting, leading and growing high performing technical teams in a demanding talent market. 

• Excellent problem-sol