Principal Enterprise Data Platform Architect

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 Dennisons enterprise 10-Layer Data & AI Operating 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 Dennisons 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 :

Qualifications

• Masters or Bachelors 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).

Additional Information :

Pay Transparency

The salary range for this position is $141825 - $211792 / 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 candidates 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.

Reasonable Accommodations Notice

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Identity Verification Notice

To maintain the integrity of our hiring process and protect our candidates from identity fraud we require video and/or in-person interviews. As part of this verification we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.

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.

Remote Work :

Yes

Employment Type :

Full-time