Principal Enterprise Data Platform Architect
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Job Description
About the role
As the Principal Enterprise Data Platform Architect, you will serve as the technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization. Reporting directly to the Director of Data Excellence & AI Foundations, you will be responsible for defining, architecting, and evolving Avery Dennison’s enterprise 10-Layer Data & AI Operating System. In this role, you will lead the technical transition from legacy ETL pipelines toward a modern, high-code Platform Engineering practice grounded in GitOps, Data-as-Code, declarative management, and automated metadata control planes while mentoring and elevating internal engineering talent.
Key Responsibilities
Position Location: Remote
• Own the global architecture blueprint and technology decision trees for Avery Dennison's enterprise analytical and AI platforms, architecting the 10-Layer Modern Data Operating System across multi-cloud environments (OCI, GCP, Azure).
• Architect and deploy the centralized Metadata Control Plane and automated Data Catalog, coordinating schema tracking, lineage graphs, data quality observability, GitOps methodologies, reusable developer toolboxes, and context-as-code for LLM reasoning.
• Design and govern enterprise AI infrastructure standards, including Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines for corporate Gemini LLM solutions and autonomous AI agents with deterministic verification mechanisms.
• Design and enforce the Universal Security Model incorporating Attribute-Based Access Control (ABAC), fine-grained masking, and Okta/Active Directory identity integration, while implementing SRE-style observability for platform health, latency, query performance, and compute costs.
• Serve as Pillar Lead for the Data Platform Engineering squad, guiding and mentoring technical talent across pipeline, data, analytics, AI/LLM, DevOps, and APEX engineering while partnering with HR on technical career progression tracks and competency matrices.
Requirements
Department: Information Technology
Experience Level: Mid-Senior Level