Principal Data Architect

Role Overview:

Quantiphi is assembling a high-impact Blackbelt Team of elite technologists to lead large-scale, AI-native data transformations for Fortune 100 enterprises on Google Cloud Platform (GCP). We're hiring Principal Data Architects across North America with a passion for data, cloud, and AI-first modernization.

Responsibilities

Enterprise Data & AI Architecture Design

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.
 

Legacy Platform Modernization

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.
 

Productionizing AI & ML Pipelines

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.
 

Customer-Centric Technical Leadership

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.
 

Price-Performance Engineering

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.

Required Skills:

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