Principal Enterprise Data Platform Architect

🔥 3 hours ago

🌐 Sri Lanka, United States – Remote

🇱🇰 Sri Lanka – Remote 🇺🇸 United States – Remote

💵 $141.8k - $211.8k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 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

• 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

• 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