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About the Role

Lead the strategy, architecture, and technical execution of a modern data platform powering internal intelligence, AI systems, and external B2B data products. This role involves building data capabilities like knowledge graphs, enterprise APIs, and AI-ready data services to create reusable, reliable, and monetizable products.

Responsibilities

• Define and lead the company’s enterprise product data strategy, architecture, and operating model.
• Shape, scale, and steward the shared enterprise product data platform across ingestion, storage, transformation, orchestration, governance, access, and activation.
• Evaluate and select core technologies across data warehousing, Snowflake, lakehouse infrastructure, orchestration, graph databases, vector databases, metadata tooling, and ML/AI infrastructure.
• Design and operationalize a modern Snowflake/lakehouse architecture capable of supporting structured, semi-structured, and unstructured data at scale.
• Lead the development of robust ETL and ELT pipelines across batch, streaming, and event-driven workflows.
• Establish canonical data models, semantic layers, and shared definitions across business and product domains.
• Drive interoperability across internal systems and external products.
• Establish data contracts, quality thresholds, freshness standards, schema versioning, lineage requirements, and validation systems.
• Design and govern enterprise ontology frameworks that create consistency across entities, attributes, behaviors, relationships, and events.
• Architect and scale a commercial intelligence graph that connects creators, sites, content, topics, entities, and downstream use cases.
• Establish a clear semantic foundation that reduces disconnected schemas and one-off pipelines.
• Design data models and access systems that preserve source, rights, permissions, attribution, consent, freshness, licensing status, and commercial usage constraints.
• Ensure every external data product can answer questions about data origin, ownership, freshness, and usage rights.
• Define how Raptive’s intelligence layer is exposed to AI systems, agents, LLM applications, and developer ecosystems.
• Ensure the platform supports AI-native applications, including model training, retrieval, inference, personalization, and agentic workflows.
• Support the integration of structured and unstructured data, vector-based retrieval, and model-facing services.
• Build evaluation and trust mechanisms for AI-facing data products.
• Partner with product, engineering, and commercial leadership to turn core data assets into external B2B offerings.
• Build secure, reliable, enterprise-grade data services for customers, partners, applications, agents, and LLM ecosystems.
• Define the technical and operational requirements for data productization.
• Partner with commercial leadership to ensure data products support packaging, pricing, metering, entitlement management, and usage reporting.
• Establish strong standards for data governance, lineage, metadata, cataloging, privacy, quality, security, and compliance.
• Create clear frameworks for data stewardship, lifecycle management, and long-term retention of high-value longitudinal data.
• Ensure the platform is designed for enterprise-grade reliability, security, privacy, and access control.
• Ensure the data platform protects creator value by preserving attribution, usage boundaries, licensing status, and monetization logic.
• Build and lead a high-performance team spanning data engineering, data architecture, platform engineering, and ontology/semantic modeling.
• Translate complex technical tradeoffs into clear business decisions, investment priorities, and product implications.
• Serve as a senior strategic voice on how data can become a durable competitive advantage for the company.

Requirements

• 10+ years of experience in data engineering, data architecture, platform engineering, or related leadership roles.
• Proven success building and scaling modern cloud-based data platforms in complex, high-volume environments.
• Deep experience with entity resolution, identity graphs, canonical entity modeling, deduplication, taxonomy design, and reconciliation of messy real-world data.
• Deep expertise in modern cloud data architecture, including Snowflake or comparable warehouse/lakehouse systems, graph databases, vector stores, orchestration frameworks, metadata systems, and production-grade data APIs.
• Demonstrated experience leading enterprise data platform strategy, architecture, and evolution.
• Strong experience with modern data stack technologies across storage, compute, orchestration, transformation, observability, and governance.
• Hands-on understanding of ontology design, semantic modeling, metadata strategy, and knowledge graph architecture.
• Experience building data platforms that support AI and machine learning use cases.
• Experience exposing data capabilities as external products, such as APIs, developer platforms, or commercially licensed data services.
• Strong understanding of enterprise-grade reliability, security, privacy, and access control.
• Demonstrated ability to lead both strategy and execution, from architecture decisions to org design to delivery.
• Experience managing and developing senior technical talent across multiple data disciplines.
• Strong cross-functional communication skills and the ability to work effectively with executive, product, engineering, and commercial leaders.
• Ability to operate in ambiguous environments and create structure, standards, and momentum.
• Has personally led platform architecture decisions and shipped production data products.
• Comfortable moving between whiteboard architecture, schema design, API product requirements, vendor evaluation, executive tradeoff discussions, and team-building.
• Experience building externally consumed, customer-facing data platforms with developer documentation, authentication, entitlements, SLAs, versioning, observability, and customer support workflows.

Skills

• Data Engineering
• Data Architecture
• Platform Engineering
• Cloud Data Platforms
• Entity Resolution
• Identity Graphs
• Canonical Entity Modeling
• Deduplication
• Taxonomy Design
• Snowflake
• Lakehouse Architecture
• Graph Databases
• Vector Databases
• Orchestration Frameworks
• Metadata Systems
• Production-grade Data APIs
• ETL
• ELT
• Batch Processing
• Streaming Processing
• Event-driven Workflows
• Data Modeling
• Semantic Layers
• Ontology Design
• Knowledge Graph Architecture
• Data Contracts
• Schema Versioning
• Data Lineage
• Data Quality
• Data Governance
• Data Security
• Data Privacy
• AI/ML Data Platforms
• Unstructured Data Integration
• Vector-based Retrieval
• Model-facing Services
• API Development
• Developer Platforms
• Commercial Data Services
• Enterprise-grade Reliability
• Access Control
• Team Leadership
• Cross-functional Communication
• Strategic Planning
• Product Management
• Commercialization

Location

• Remote

Work Type

• Full-time

Experience Level

• 10+ years of experience
• Leadership roles

About the Company

• Raptive is a new kind of media company built for creators and home to one of the largest and most diverse audiences on the internet.
• Raptive combines its position as the world’s largest ad management platform with a comprehensive suite of monetization, audience and business solutions that enable creators to turn their passions and talents into thriving independent companies and enduring brands.
• We stand for the future of a diverse, open internet powered by the creativity and entrepreneurship of the independent creators and publishers it serves.
• To date, Raptive has driven $4 billion in earnings to its partners.
• Join us in creating a more equitable and inclusive future for media.
• Raptive was recognized as a Fortune 100 Best Places To Work for 2025-2026.

Equal Opportunity

• Raptive is committed to diversity, equity, and inclusion.
• We encourage candidates from all backgrounds to apply.
• Raptive is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
• For individuals with disabilities who would like to request an accommodation, please reach out to a member of our recruiting team.