Remote Principal Enterprise Data & AI Platform Architect

Avery Dennison; Kentucky; On-site; USD 142,000 - 212,000; Full time

Benefits offered by this job

Inclusive Healthcare

401(k) Retirement Plan

Medical Insurance

Paid Time Off

Job summary

Avery Dennison is seeking a Principal Enterprise Data Platform Architect to lead the Data Platform Engineering team, defining and evolving the enterprise 10-Layer Data & AI Operating System. You will guide the transition from legacy ETL to a GitOps-driven platform engineering practice across multi-cloud environments.

The role requires deep expertise in AI infrastructure, data catalogs, security models, and mentoring talent across analytics, AI/LLM, and DevOps.

Qualifications

• 10+ years in enterprise data architecture, platform engineering, or cloud infrastructure design
• 3+ years leading technical teams in a global enterprise context
• Degree in CS/Engineering or related field

Responsibilities

• Own the global architecture blueprint and technology decision trees for enterprise analytical and AI platforms across multi-cloud environments.
• 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 ABAC, fine-grained masking, and Okta/Active Directory 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.

Skills

Multi-cloud architecture

Data engineering

Python

SQL

Airflow

Kafka

Docker

Kubernetes

Terraform

GitOps

Metadata management

LLM infrastructure

Team leadership

Education

Master’s or Bachelor’s degree in Computer Science or related field

Tools

OCI

GCP

Azure

Databricks

Oracle ADW

Apache Iceberg/Delta Lake

GitHub Actions/GitLab CI

Job description

Avery Dennison is seeking a Principal Enterprise Data Platform Architect to lead the Data Platform Engineering team, defining and evolving the enterprise 10-Layer Data & AI Operating System. You will guide the transition from legacy ETL to a GitOps-driven platform engineering practice across multi-cloud environments.

The role requires deep expertise in AI infrastructure, data catalogs, security models, and mentoring talent across analytics, AI/LLM, and DevOps.