About e Bay
At e Bay, 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 for 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.
Key Responsibilities
Enterprise Data Solutions Architecture
Understand sophisticated business process needs and the underlying coordinated applications to design the most efficient end‑to‑end data pipeline solutions.
Identify the most appropriate authoritative data sources, data transformation logic, and consumption patterns to satisfy specific analytical solutions.
Design and enable the most optimal data architecture and pipelines to support large‑scale AI/ML initiatives, ensuring data quality, lineage, and feature engineering readiness.
Enterprise Data Architecture
Define and maintain enterprise‑wide data domains, subdomains, and key subject areas.
Design and evolve semantic data models (conceptual, logical, and domain‑level), ontologies, and enterprise taxonomies.
Drive alignment on architecture principles and enforce consistency across teams and platforms.
Metadata, Governance, and Interoperability
Collaborate with the Data Governance leadership and align on standard metadata practices to ensure discoverability, lineage, and governance across corporate data domains.
Partner with governance, AI/ML, and metadata teams to enable computational governance and automated metadata enrichment.
Architect scalable and interoperable semantic layers across platforms (e.g., Lakehouse, Knowledge Graphs, Data Warehouses).
Collaboration and Partnership
Collaborate with product, data, analytics and engineering teams to define domain‑focused data contracts that analytics, AI, and operational needs.
Lead integration of business glossaries, taxonomies, and metadata systems into data platforms and AI pipelines.
Provide clear communication to connect business requirements with technical architecture.
Frameworks and Best Practices
Design and implement reusable taxonomy and ontology frameworks that connect business context with technical systems.
Provide strategic guidance on modeling techniques and ensure adoption of standard processes.
Qualifications
Technical Expertise
10+ years of experience in a large enterprise or consulting, implementing and supporting an industry‑standard enterprise solution (SAP, Workday) is a must.
Hands‑on experience at a functional level as a business analyst, product analyst or product manager (10+ years) supporting at least one enterprise solution such as SAP or Workday, focusing on data management, integrations and reporting is a must.
Extensive experience (8+ years) in enterprise data modeling (conceptual, logical, and physical), ontology engineering, and metadata architecture.
Proficiency (5+ years) in enterprise data modeling tools such as Alation, Atlan, Erwin, Lucidchart, or similar platforms.
Deep understanding of various enterprise‑level business processes such as Source‑to‑Pay, Record‑to‑Report, Hire‑to‑Retire, Financial Reporting and their supporting data elements.
Proficiency in reporting & analytics tools (Tableau, Looker), SQL, data profiling methods and tools, ETL tools (Alteryx, Powerquery, Informatica, Talend), master data management principles, big‑data solutions, hybrid cloud solutions capability is desired.
Architectural & Design Principles
Deep understanding of domain‑focused design, data mesh principles, and knowledge graph architecture.
Demonstrable experience integrating business glossaries, metadata, and taxonomies with enterprise platforms and AI systems.
Leadership & Collaboration
Ability to translate sophisticated technical concepts into clear, actionable guidance for both technical and non‑technical partners.
Strong collaboration skills, with experience working alongside data product owners, engineers, data scientists, and governance teams.
e Bay 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, veteran status, disability, or other legally protected status.
If you have a need that requires accommodation, please contact us at talent@ebay.com.
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