Principal Enterprise Data Platform Architect

🕒 Agosto 17

🏈 Ohio – Remoto

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💵 $141.825 - $211.792 / ano

⏰ Tempo Integral

🔴 Especialista

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

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👻 Score fantasma 4%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Avery Dennison

10.000+ funcionários

Fundada em 1935

🚘 Automotivo

🏥 Saúde

📦 Logística

Automotive • Healthcare • Logistics

Somos uma empresa global com presença em mais de 50 países, empregando aproximadamente 36.000 pessoas em todo o mundo. Oferecemos soluções de marca e etiquetagem informativa, incluindo materiais autoadesivos, incrustações e etiquetas de identificação por radiofrequência (RFID), além de uma variedade de produtos e soluções convertidos. Projetamos e fabricamos uma ampla variedade de materiais funcionais e de etiquetagem que melhoram embalagens de marca, transportam ou exibem informações que conectam o físico ao digital e melhoram o desempenho dos produtos dos clientes. Lideramos o atendimento a uma vasta gama de indústrias ao redor do mundo, incluindo cuidados domésticos e pessoais, vestuário, comércio eletrônico, logística, alimentos e mercearia, produtos farmacêuticos e automotivos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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