Data Eng, Data Systems, TCGplayer

About the team and the role

At TCGplayer, the Data Engineering team collaborates across the organization to define datastore infrastructure, design efficient and scalable database and data‑flow architectures, and resolve scaling or performance challenges as they arise. The team supports effective datastore usage in data architecture, governance, lifecycle management, software currency, and security. As a staff‑level member, you will partner with technical leaders to set direction for the evolving data estate and lead efforts to improve reliability, scalability, and efficiency of the systems that drive the company’s business.

• Function as a technical leader and advisor within the data technology field, nurturing the growth and progress of both the company and individual engineers.
• Provide technical expertise and insight in collaboration with other teams to develop data‑flow strategies and define storage needs for microservices, ensuring scalability, reliability, and alignment with system architecture.
• Manage cross‑application projects for data stores, emphasizing security, software currency, data governance, and platform migrations.
• Research emerging capabilities in both the data stores used by the organization and the broader marketplace to inform long‑term strategic planning in the data domain.
• Consult on database design for application data stores and queries/aggregations against those structures, optimizing for performance and scalability.
• Write minimal yet effective code, primarily database queries to facilitate data management and manipulation and proof‑of‑concepts for suggested techniques.
• Guide the selection of appropriate datastore technologies for new and re‑platformed apps, focusing on transactional microservices and event‑driven systems to meet current and future data needs.

• Strong written and verbal communication skills, with a track record of influencing technical decisions and working cross‑functionally across engineering teams, technical leaders, and partner functions.
• 10+ years of experience designing data stores, data architectures, and data flows for scalable, reliable, and efficient production systems.
• Strong experience building and evolving data stores for microservices and event‑driven applications (Kafka preferred).
• Deep expertise with relational/transactional databases in production (Postgres preferred), including schema design, indexing, query optimization, execution plans, partitioning, and performance tuning.
• Strong understanding of operational/OLTP systems, how to troubleshoot bottlenecks, and support systems that require high availability, reliability, and performance under load.
• Ability to define data ownership, service boundaries, and access patterns in microservices‑based architecture.
• Experience working across multiple data technologies, including relational databases (Postgres), document databases (Mongo
  
  DB), caching technologies (Redis), and analytics platforms (Snowflake).
• Strong understanding of where different data technologies are most effective and how to make trade‑off decisions based on product, system, and scaling needs.
• Experience supporting data governance, lifecycle management, software currency, and operational standards within medium‑to‑large organizations.
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and experience.

This job posting relates to an existing vacancy within eBay. eBay is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, or other legally protected status. If you need accommodation, please contact  We will make every effort to respond to your request for accommodation as soon as possible.