Senior Data Platform Architect for AI & Cloud

Avery Dennison Corporation; Mentor, Northern (OH, KY); Hybrid; 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 Corporation is seeking a Principal Enterprise Data Platform Architect to lead the technical transition to a modern, high-code platform engineering practice. This remote role centers on defining the 10-Layer Data Operating System across multi-cloud environments and establishing governance for data catalogs, security, and AI infrastructure.

You will mentor engineers across data, analytics, AI/LLM, DevOps, and related teams, while partnering with HR on career progression and

Qualifications

• Master’s or Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field.
• 10+ years in enterprise data architecture, platform engineering, or cloud infrastructure design.
• 3+ years leading technical teams in a global enterprise.

Responsibilities

• Own the global architecture blueprint and technology decision trees for enterprise analytical and AI platforms.
• Architect and deploy the centralized Metadata Control Plane and automated Data Catalog.
• Design and govern enterprise AI infrastructure standards (Vector DBs, Knowledge Graphs, Feature Stores, RAG pipelines).
• Lead Pillar for the Data Platform Engineering squad, mentoring talent and coordinating with HR on career progression.

Skills

Strategic leadership

Communication

Mentoring

Education

Master’s or Bachelor’s degree in CS/Engineering

Tools

OCI

GCP

Azure

Oracle ADW

Databricks

Apache Iceberg/Delta Lake

Python

SQL

Apache Airflow

Kafka/Confluent

Docker

Kubernetes

Terraform

GitOps (GitHub Actions/GitLab CI)

Job description

Avery Dennison Corporation is seeking a Principal Enterprise Data Platform Architect to lead the technical transition to a modern, high-code platform engineering practice. This remote role centers on defining the 10-Layer Data Operating System across multi-cloud environments and establishing governance for data catalogs, security, and AI infrastructure.

You will mentor engineers across data, analytics, AI/LLM, DevOps, and related teams, while partnering with HR on career progression and