Principal Data Architect

Quantiphi is hiring Principal Data Architects to lead large-scale, AI-native data transformations for Fortune 100 enterprises on Google Cloud Platform, focusing on data, cloud, and AI-first modernization.

Location: United States

Responsibilities

• Architect end-to-end data and AI platforms using GCP-native tools like BigQuery, Vertex AI, Dataplex, and Looker.
• Integrate GenAI and predictive ML into modern data ecosystems to enable intelligent, automated decision-making at scale.
• Lead migrations from traditional data systems (Teradata, Netezza, Oracle, SQL Server, Hadoop, etc.) to GCP.
• Replatform data pipelines using agentic AI accelerators like Codeaira for faster ETL conversion, data quality validation, and architectural optimization.
• Partner with data scientists to operationalize ML models using Vertex AI Pipelines, Model Monitoring, and Feature Store.
• Enable AI-driven use cases: customer personalization, fraud detection, forecasting, and intelligent automation.
• Collaborate directly with CDOs, CIOs, and Chief Architects to define cloud AI strategies and transformation roadmaps.
• Serve as a trusted advisor across industries, influencing both technology and business decisions.
• Conduct rigorous benchmarking to optimize cost and throughput of AI + data workloads on BigQuery and allied services.
• Embed performance-aware designs for large-scale inference, data scoring, and training pipelines.

Requirements

• An AI-savvy cloud data architect with deep enterprise experience
• Hands-on in modern data platforms, MLOps, and LLM-powered architectures
• Skilled at bridging the gap between legacy systems and next-gen AI/ML systems
• Eager to co-innovate with global clients and redefine what’s possible with cloud + AI