Principal Consultant_Decision Scientist_4
Core
Design and lead large-scale Data Engineering, Data Warehousing, and AI/ML solutions on Google Cloud Platform for Fortune 500 clients.
Role type
Principal Architect – Data Engineering, AI & GCP
Builds
Scalable, secure, future-proof data platforms and AI/ML systems on GCP
Domain
Cloud-native Data Engineering and AI/ML on Google Cloud Platform
Deliverable
production ML models | infrastructure
Required skills
Google Cloud Platform (GCP) architecture, BigQuery, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, Python, Java, MLOps, Agile, CI/CD, DevOps, cross-functional team leadership, client-facing delivery management
Preferred skills
Docker, Kubernetes, AWS (hybrid cloud), Google Cloud Professional Cloud Architect Certification
Technologies
BigQuery, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, GCP serverless infrastructure, PLX, SQL, Dremel, Spanner
Responsibilities
Define technology vision and chart paths forward for clients, lead end-to-end architecture for data and AI solutions, act as Delivery Lead owning timelines and quality, step in hands-on for architecture validation and production issue resolution, mentor delivery teams, become a trusted thought partner to senior client leaders, contribute to reference architectures and technical content
Seniority
Principal, hands-on IC with strategy & mentorship