Principal Enterprise Data Platform Architect

Job not on LinkedIn

🔥 0 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $141.8k - $211.8k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

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Avery Dennison

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1935

🚘 Automotive

🏥 Healthcare

📦 Logistics

Automotive • Healthcare • Logistics

Avery Dennison is a global materials science and digital identification solutions company that specializes in providing a wide range of branding and information solutions. These solutions optimize labor and supply chain efficiency, reduce waste, and advance sustainability and transparency, ultimately connecting brands and consumers more effectively. Avery Dennison serves various industries, including automotive, healthcare, apparel, and retail, with products such as RFID tags, labels, and packaging materials. The company is committed to innovation and sustainability, helping businesses improve performance and reduce their environmental impact.

📋 Description

• 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 a high-code Platform Engineering practice 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 • Architect the 10-Layer Modern Data Operating System 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 • Present complex architectural blueprints to executive sponsors

🎯 Requirements

• 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, and Azure • Expertise with Oracle ADW 23c/26ai, Databricks, and Apache Iceberg or Delta Lake • High-code data engineering mastery in Python, SQL, Apache Airflow, Kafka/Confluent streaming, CDC/GoldenGate, Docker, Kubernetes, Terraform, and GitOps CI/CD pipelines • Experience with GitHub Actions or GitLab CI • Experience architecting enterprise AI/ML infrastructure, including Vector DBs, Knowledge Graphs, Feature Stores, RAG pipelines, and enterprise LLM integrations with Gemini • Experience establishing Universal Security Models, including ABAC, RLS, and Okta/Active Directory • Proven record of mentoring technical talent • Strong strategic leadership and communication skills • Background presenting complex architectural blueprints to VP/CIO-level executive sponsors • Successful completion of a comprehensive background check and drug screening required as a condition of employment • Video and/or in-person interviews and brief photo identity verification may be required

🏖️ Benefits

• Inclusive Healthcare with access to medical and behavioral health professionals • 401(k) Retirement Plan with automatic 3% contribution of eligible pay • 50% matching contribution on the first 7% of eligible pay contributed to the 401(k) Plan • Medical insurance and healthcare options for employees and families • Generous paid vacation program varying by experience and position • Remote work