Principal Enterprise Data Platform Architect

This is a fully remote position, open to applicants in Sri Lanka, +1 more country.

📋 Description

• Act as the technical lead and head of the Data Platform Engineering team within the Data Excellence & AI Foundations organization.

• Define, design, and enhance Avery Dennison's enterprise 10-Layer Data & AI Operating System.

• Lead the shift from outdated ETL pipelines to advanced Platform Engineering utilizing GitOps, Data-as-Code, declarative management, and automated metadata control systems.

• Own the global architectural blueprint and technology decision frameworks for enterprise analytical and AI platforms across OCI, GCP, and Azure.

• Architect and implement the centralized Metadata Control Plane and automated Data Catalog.

• Oversee schema tracking, lineage mapping, data quality observability, GitOps practices, reusable developer tools, and context-as-code for LLM reasoning.

• Design and regulate enterprise AI infrastructure standards for Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines.

• Support corporate Gemini LLM solutions and autonomous AI agents with reliable verification mechanisms.

• Create and enforce the Universal Security Model incorporating ABAC, fine-grained masking, and Okta/Active Directory integration.

• Implement SRE-style observability for monitoring platform health, latency, query performance, and computational costs.

• Lead the Data Platform Engineering team.

• Guide and mentor technical talent in areas such as pipeline, data, analytics, AI/LLM, DevOps, and APEX engineering.

• Collaborate with HR on developing technical career progression paths and competency frameworks.

⛳️ Requirements

• Master’s or Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related quantitative discipline.

• Over 10 years of experience in enterprise data architecture, platform engineering, or cloud infrastructure design.

• More than 3 years of experience leading technical teams within a global enterprise environment.

• Expert-level knowledge in OCI, GCP, Azure, Oracle ADW (23c/26ai), Databricks, and Apache Iceberg or Delta Lake.

• Proficiency in Python, SQL, Apache Airflow, Kafka/Confluent streaming, CDC/GoldenGate, Docker, Kubernetes, Terraform, and GitOps CI/CD pipelines utilizing GitHub Actions/GitLab CI.

• Experience in architecting enterprise AI/ML infrastructure, including Vector databases, Knowledge Graphs, Feature Stores, RAG pipelines, and Gemini LLM integrations.

• Demonstrated mentoring capabilities.

• Experience in establishing Universal Security Models using ABAC, RLS, and Okta/Active Directory.

• Ability to present intricate architectural blueprints to executive stakeholders such as VP/CIO.

• Successful completion of a thorough background check and drug screening.

• Participation in video and/or in-person interviews and potential identity-verification photo submission.

🏝️ Benefits

• Inclusive healthcare coverage with access to medical and behavioral health professionals.

• 401(k) retirement plan featuring automatic 3% contributions and 50% matching contributions on the first 7% contributed.

• Comprehensive medical insurance and healthcare options.

• Generous paid time off and vacation program.

• Remote work opportunities.