Lead Data & AI Architect Google Cloud Platform
Inc. (rms)
Charlotte, NC, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
BigQuery
Cloud Computing Security
Cloud Storage
Data Architecture
Data Governance
Data Flow Control
Cloudera
Search Technologies
Google Cloud
Retrieval-Augmented Generation
Agentic-AI
+2 more
Data Lakes
Data Pipelines
Requirements
Strong hands-on expertise in Google Cloud Platform and BigQuery. Experience with Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Vertex AI. Expertise in enterprise data architecture, data lakes/lakehouses, and real-time data pipelines. Strong knowledge of GenAI, Agentic AI, RAG, vector search, and AI/ML architecture. Experience in cloud security, data governance, scalability, and cost optimization. Proven architecture leadership in banking or financial services. Excellent client-facing, stakeholder management, and technical leadership skills.
Google Cloud certifications are an added advantage.
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