Principal Data Architect

Reposted 2 Days Ago
Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

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

Why Join Quantiphi’s Blackbelt Team?

This is a rare opportunity to drive AI-native transformation at the heart of the world’s largest enterprises. Backed by Google Cloud’s DA Fast program and Quantiphi’s proven IP (Codeaira), you’ll enable customers to unlock the full potential of Generative AI and enterprise-scale data platforms—from strategy to execution.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • Enterprise experience in data and AI architecture
  • Hands-on experience with modern data platforms and MLOps
  • Expertise in bridging legacy and next-gen AI/ML systems
  • Ability to collaborate with global clients on cloud AI solutions
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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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