Sr. Data Architect
Core
Architecting the foundational AI Context Layer (Enterprise Ontology and Semantic Layer) to empower Agentic AI ecosystems and data-driven decision-making across the organization.
Role type
Senior IC Data Architect (AI & Semantic Layer)
Builds
Enterprise Ontology, Semantic Layers, Canonical Data Models, and AI Context Pipelines for Agentic AI systems.
Domain
Media & Entertainment / AI & Data Engineering
Deliverable
production ML models
Required skills
Enterprise Data Architecture, Semantic Layer Design, Canonical Modeling, Cloud Data Platforms (Snowflake/Databricks/Fabric), Data Modeling (Relational/Dimensional/Data Vault), Ontology Management, FinOps
Preferred skills
Graph-native concepts, LLMOps/MLOps, Event-driven pipelines, Schema-on-read ingestion
Technologies
Snowflake, Databricks, Microsoft Fabric, AWS, Azure, dbt, Cube
Responsibilities
Define vision and roadmap for Enterprise Ontology and Semantic Layer; Design and deploy semantic abstraction layers; Lead design of foundational data domains into unified Canonical Models; Implement resilient lakehouse patterns and stream processing; Architect and maintain MLOps/LLMOps processes; Develop enterprise-wide standards for metadata and data contracts; Implement data quality and identity resolution frameworks.
Seniority
Senior, hands-on IC