Principal Enterprise Data Platform Architect

Avery Dennison

. Serve as technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization .

Posted 9/17/2026full-timeRemote • Ohio • United States, Sri LankaLead💰 $141,825 - $211,792 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture and platform engineering, with a strong focus on cloud infrastructure design across OCI, GCP, and Azure. Proven ability to lead technical teams, mentor talent, and implement advanced AI/ML infrastructure solutions.

Highest-signal resume keywords

Enterprise Data ArchitectureCloud Infrastructure DesignAI/ML Infrastructure ArchitectureGitOps CI/CD PipelinesUniversal Security Model Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLApache AirflowKafka/Confluent StreamingDockerKubernetesTerraformGitOpsData-as-CodeDeclarative Management

Soft Skills

MentoringLeadershipPresentation Skills

Tools & Technologies

OCIGCPAzureOracle ADWDatabricksApache IcebergDelta LakeOktaActive DirectoryGitHub Actions

Industry Keywords

Data Platform EngineeringData Quality ObservabilityMetadata Control PlaneVector DatabasesKnowledge GraphsFeature StoresRAG PipelinesGemini LLMSRE-style ObservabilityABAC

Tech Stack

Tools & technologies

AirflowApacheAzureCloudDockerETLGoogle Cloud PlatformKafkaKubernetesOraclePythonSQLTerraform

About the role

Key responsibilities & impact

Serve as technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization
Define, architect, and evolve Avery Dennison's enterprise 10-Layer Data & AI Operating System
Lead the transition from legacy ETL pipelines to high-code Platform Engineering using GitOps, Data-as-Code, declarative management, and automated metadata control planes
Own the global architecture blueprint and technology decision trees for enterprise analytical and AI platforms across OCI, GCP, and Azure
Architect and deploy the centralized Metadata Control Plane and automated Data Catalog
Coordinate 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 for Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines
Support corporate Gemini LLM solutions and autonomous AI agents with deterministic verification mechanisms
Design and enforce the Universal Security Model with ABAC, fine-grained masking, and Okta/Active Directory integration
Implement SRE-style observability for platform health, latency, query performance, and compute costs
Lead the Data Platform Engineering squad
Guide and mentor technical talent across pipeline, data, analytics, AI/LLM, DevOps, and APEX engineering
Partner with HR on technical career progression tracks and competency matrices

Requirements

What you’ll need

Master's or Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related quantitative field
10+ years in enterprise data architecture, platform engineering, or cloud infrastructure design
3+ years leading technical teams in a global enterprise context
Expert proficiency in OCI, GCP, Azure, Oracle ADW (23c/26ai), Databricks, and Apache Iceberg or Delta Lake
Mastery of Python, SQL, Apache Airflow, Kafka/Confluent streaming, CDC/GoldenGate, Docker, Kubernetes, Terraform, and GitOps CI/CD pipelines using GitHub Actions/GitLab CI
Experience architecting enterprise AI/ML infrastructure, including Vector DBs, Knowledge Graphs, Feature Stores, RAG pipelines, and Gemini LLM integrations
Proven mentoring experience
Experience establishing Universal Security Models using ABAC, RLS, and Okta/Active Directory
Ability to present complex architectural blueprints to executive sponsors such as VP/CIO
Successful completion of a comprehensive background check and drug screening
Video and/or in-person interviews and possible identity-verification photo

Benefits

Comp & perks

Inclusive healthcare with access to medical and behavioral health professionals
401(k) retirement plan with automatic 3% contribution and 50% matching contribution on the first 7% contributed
Medical insurance and healthcare options
Generous paid time off/vacation program
Remote work