Principal Data Platform Architect
Core
Designing and governing the global enterprise data platform and AI/ML infrastructure across multi-cloud environments.
Role type
Principal Data Platform Architect
Builds
Enterprise analytical and AI platforms, 10-layer modern data operating system, centralized metadata control plane, automated data catalog, and enterprise AI infrastructure standards.
Domain
Enterprise Data Engineering, Cloud Infrastructure, AI/ML Infrastructure
Deliverable
production ML models
Required skills
Multi-cloud architecture (OCI, GCP, Azure), Data Lakehouse formats (Iceberg, Delta Lake), AI/ML infrastructure design (vector DBs, knowledge graphs, feature stores, RAG), Security modeling (ABAC, RLS), Cloud infrastructure as code (Terraform, GitOps), Streaming (Kafka, CDC), Container orchestration (Kubernetes, Docker), CI/CD (GitHub Actions, GitLab CI), Python, SQL, Team leadership.
Preferred skills
Experience mentoring technical talent, presenting to executive sponsors, establishing competency matrices.
Technologies
OCI, GCP, Azure, Oracle ADW, Databricks, Apache Iceberg, Delta Lake, Python, SQL, Apache Airflow, Kafka, Confluent, Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI, Okta, Active Directory, Gemini, Vector Databases, Knowledge Graphs, Feature Stores, RAG, SRE tools.
Responsibilities
Own global architecture blueprint and technology decision paths for enterprise analytical and AI platforms. Architect and implement the centralized metadata control plane and automated data catalog. Define and govern enterprise AI infrastructure standards including vector databases and RAG pipelines. Design and enforce the universal security model with attribute-based access control. Implement SRE-style observability for platform health and costs. Serve as pillar lead for the Data Platform Engineering team, guiding and coaching technical talent.
Seniority
Principal, strategic leadership & hands-on architecture
