Principal Enterprise Data Platform Architect

Avery Dennison
United States
Workplace: RemoteFull timeUSD 141,825 - 211,792 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 10+ yearsEducation: mastersSkills: ["Strategic leadership","Communication","Mentoring","Technical leadership"]

Serve as the technical lead and pillar head for Data Platform Engineering, defining and evolving an enterprise 10-layer Data & AI Operating System. Own global architecture and technology decision trees across multi-cloud analytics and AI platforms, transitioning from legacy ETL to platform engineering with GitOps and Data-as-Code. Architect metadata control planes, governance, and AI/ML infrastructure (vector databases, knowledge graphs, feature stores, RAG) with security models and SRE-style observability, while mentoring engineering talent.

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Avery Dennison
Avery Dennison
1 day ago

Principal Enterprise Data Platform Architect

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Job Summary

Serve as the technical lead and pillar head for Data Platform Engineering, defining and evolving an enterprise 10-layer Data & AI Operating System. Own global architecture and technology decision trees across multi-cloud analytics and AI platforms, transitioning from legacy ETL to platform engineering with GitOps and Data-as-Code. Architect metadata control planes, governance, and AI/ML infrastructure (vector databases, knowledge graphs, feature stores, RAG) with security models and SRE-style observability, while mentoring engineering talent.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Define and evolve an enterprise 10-layer Data & AI Operating System as technical lead and pillar head for Data Platform Engineering.
  • •Own the global architecture blueprint and technology decision trees for enterprise analytical and AI platforms across multi-cloud environments (OCI, GCP, Azure).
  • •Architect and deploy a centralized Metadata Control Plane and automated Data Catalog (schema tracking, lineage graphs, data quality observability) using GitOps and data-as-code approaches.
  • •Design and govern enterprise AI infrastructure standards, including vector databases, knowledge graphs, feature stores, and RAG pipelines for Gemini LLM solutions and autonomous AI agents with deterministic verification.
  • •Serve as Pillar Lead for the Data Platform Engineering squad, guiding and mentoring technical talent across pipelines, data, analytics, AI/LLM, DevOps, and APEX engineering.

Pay and Benefits

Salary: USD 141,825 - 211,792 annually
Perks:Health Insurance401kPaid Leave

Key Requirements

  • •Master’s or Bachelor’s 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) plus 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, CDC (including GoldenGate), Docker, Kubernetes, Terraform, and GitOps CI/CD pipelines (GitHub Actions/GitLab CI).
  • •Experience architecting enterprise AI/ML infrastructure, including vector databases, knowledge graphs, feature stores, RAG pipelines, and enterprise LLM integrations (Gemini).
  • •Proven strategic leadership and communication skills with a record of mentoring technical talent and establishing Universal Security Models (ABAC, RLS, Okta/AD).
Experience:10+ yearsEnterprise data architecturePlatform engineeringCloud infrastructureAI/MLLLMMulti-cloudData engineeringGitOps
Education:Master's in Computer Science, Software Engineering, Computer Engineering, or a related quantitative field
Skills:Strategic leadershipCommunicationMentoringTechnical leadership
Languages:English
Tech Stack:OCIGCPAzureOracle ADWDatabricksApache IcebergDelta LakePythonSQLApache AirflowKafkaConfluent streamingChange Data Capture (CDC)GoldenGateDockerKubernetesTerraformGitOpsGitHub ActionsGitLab CI

Company Brief

Avery Dennison
Produces pressure-sensitive materials, labels, tags, packaging solutions, and RFID inlays and software for retail, logistics, and industrial customers. The company serves global brands with products that help identify, track, and enhance merchandise and supply chains.
Industry: Printing & Packaging
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Glendale, United States
Founded: 1935
WebsiteLinkedIn