Principal Enterprise Data Platform Architect

Avery Dennison Corporation; Northern (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 global data architecture and modern data operating system across multi-cloud environments. You will drive governance, security, and AI infrastructure standards while mentoring a global engineering team.

Preferred candidates have 10+ years in enterprise data and cloud design, strong leadership, and expertise in Python, SQL, Databricks, and AI/LLM integrations.

Qualifications

• 10+ years in enterprise data architecture, platform engineering, or cloud infrastructure design.
• 3+ years leading technical teams in a global enterprise.
• Expert proficiency in multi-cloud environments (OCI, GCP, Azure).
• Experience architecting enterprise AI/ML infrastructure and LLM integrations.

Responsibilities

• 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.
• Architect and deploy the centralized Metadata Control Plane and automated Data Catalog with schema tracking and data quality observability.
• Design and govern enterprise AI infrastructure standards including Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines.
• Design and enforce Universal Security Model with ABAC, fine-grained masking, and Okta/AD integration, with observable platform health.
• Guide and mentor the Data Platform Engineering squad and partner with HR on technical career progression.

Skills

Enterprise data architecture

Cloud infrastructure design

Technical leadership

Executive communication

Education

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

Tools

Oracle ADW

Databricks

Apache Iceberg

Delta Lake

Python

SQL

Airflow

Kafka

Confluent

Docker

Kubernetes

Terraform

GitHub Actions

GitLab CI

Job description

Principal Enterprise Data Platform Architect

• Full-time

Why join Avery Dennison

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com .

At Avery Dennison, some of the great benefits we provide are:

Inclusive Healthcare: Access to our large network of medical and behavioral health professionals.

401(k) Retirement Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.

Medical Insurance: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.

Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

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.

Qualifications

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

Expert technical proficiency in multi-cloud environments (OCI, GCP, Azure), Oracle ADW (23c/26ai), Databricks, and Apache Iceberg or Delta Lake table formats.

High-code data engineering mastery in Python, SQL, Apache Airflow, Kafka/Confluent streaming, Change Data Capture (CDC / GoldenGate), Docker, Kubernetes, Terraform, and GitOps CI/CD deployment pipelines (GitHub Actions/GitLab CI).

Direct experience architecting enterprise AI/ML infrastructure, including Vector DBs, Knowledge Graphs, Feature Stores, RAG pipelines, and enterprise LLM integrations (Gemini).

Strong strategic leadership and communication skills with a proven track record of mentoring technical talent, establishing Universal Security Models (ABAC, RLS, Okta/AD), and presenting complex architectural blueprints to executive sponsors (VP/CIO).

Pay Transparency

The salary range for this position is $141,825 - $211,792 / year.

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

Equal Opportunity Employer

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.

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Pre-employment Screening Notice

As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.

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