Key skills
Graph databasesMetadata platformsEntity modelingJavaC++GolangPythonAPI designData qualityGovernanceComplianceTechnical leadershipCollaboration skillsMentoringCommunication skillsCAIMLGraphQLLeadershipCommunicationCollaboration
About this role
Netflix is a leading entertainment company focused on pushing the boundaries of storytelling through technology. They are seeking a Staff Engineer (L6) to architect and lead the development of their metadata platform, ensuring effective data discovery and governance across their services.
Responsibilities:
- Lead the architecture and evolve a universal, relationship-centric catalog, focusing on entity modeling, typed relationships, and a canonical inventory graph
- Work closely with product managers and customers to define the technical strategy and roadmap for data discovery and governance at Netflix
- Act as a liaison between Data Platform and other organizations to build a cohesive Metadata Strategy across Netflix as we expand beyond streaming into Live, Ads and Games
- Champion data quality and governance by building validation engines, rules platforms, and automated health checks to ensure metadata completeness, freshness, and compliance
- Mentor and empower senior engineers and cross-functional partners, fostering strong technical decision-making and a culture of shared ownership
- Model operational excellence by driving improvements in reliability, incident response, and long-term operational best practices
- Stay ahead of industry trends in metadata management, graph technologies, and compliance, guiding build-vs-buy and technology adoption decisions
- Measure impact via adoption, data health metrics, onboarding speed, and downstream business enablement
- Exemplify and hold others accountable for demonstrating Netflix’s culture
Requirements:
- 12+ years of experience building complex, distributed systems at scale, ideally with expertise in graph databases, metadata platforms, or catalog systems
- Proficiency in Java, C++, Golang, or Python; strong grasp of multi-threading, memory management, and API design
- Deep experience with entity modeling, relationship management, and federated architectures (GraphQL a plus)
- Track record of building customer-facing platforms with a focus on extensibility, data quality, and automation
- Technical leadership in driving migrations, platform adoption, and cross-functional alignment
- Passion for governance, data health, and compliance, with experience building or integrating validation, rules engines, or data quality frameworks
- Excellent communication and collaboration skills; ability to mentor, influence, and drive consensus across diverse stakeholders
- Experience with AI/ML for metadata enrichment, anomaly detection, or automation
- Experience building or integrating with catalog systems like DataHub, Amundsen, or similar