Position Details
About this role
Senior AI Data Architect role responsible for designing and managing the organization’s enterprise data and AI architecture. The position emphasizes Google Cloud Platform (GCP) with BigQuery and Vertex AI, scalable pipelines, MLOps, and data governance.
Key Responsibilities
- Design enterprise-wide data and AI architecture
- Implement and manage GCP data and AI platforms (BigQuery, Vertex AI)
- Architect end-to-end AI/ML solutions with MLOps principles
- Build scalable ETL/ELT pipelines including SAP integration
- Drive data governance for lakehouse and analytics platforms
Technical Overview
Architect data warehousing and lakehouse solutions using BigQuery and build AI/ML platforms on GCP with Vertex AI services (Pipelines, Training, Feature Store, Endpoints). Design scalable ETL/ELT processes to integrate data from sources including SAP into GCP, applying MLOps and data governance practices.
Ideal Candidate
The ideal candidate is a senior data and AI architect with strong Google Cloud Platform (GCP) experience designing enterprise-wide data and AI architectures. They have hands-on expertise with BigQuery and Vertex AI (including Pipelines, Training, Feature Store, and Endpoints) and can design scalable ETL/ELT and lakehouse solutions using MLOps best practices.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have demonstrable expertise with Google Cloud Platform (GCP), especially BigQuery and Vertex AI
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