Staff Data Eng, Data Systems, TCGplayer

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Data Engineering team collaborates across the TCGplayer Technology organization to define appropriate datastore infrastructure, create efficient and scalable database and data flow designs, and resolve scaling or performance challenges as they arise. The team supports effective datastore usage in aspects such as data architecture, data governance, data lifecycle management, software currency, and security.    As a member of this team, you will partner with other technical leaders to set the direction for our evolving data estate and be a leader in our quest to continually improve the reliability, scalability, and efficiency of the systems which drive the company’s business.   Taking on the role of a staff-level team member at TCGplayer requires applying your vast knowledge, technical proficiency, and teamwork to support key projects and the vision and success of the organization. What you will accomplish:  Function as a technical leader and advisor within the data technology field at TCGplayer, nurturing the growth and progress of both the company and individual engineers Provide technical expertise and insight as you work 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 datastores, emphasizing security, software currency, data governance, and platform migrations Research emerging capabilities in both the datastores used by the organization and the broader marketplace to inform long-term strategic planning in the data domain Consult on database design for the structures within an application’s datastores 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 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 What you will bring:  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 datastores, data architectures, and data flows for scalable, reliable, and efficient production systems Strong experience building and evolving datastores 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, including 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 preferred), document databases (MongoDB preferred), caching technologies (Redis preferred), and analytics platforms (Snowflake preferred) Strong understanding of where different data technologies are most effective and how to make tradeoff 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 Additional Details This job posting relates to an existing vacancy within eBay. eBay is an equal opportunity employer. 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