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Principal Enterprise Architect

Quantiphi

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We've been recognized with:

  • 21x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x AWS AI/ML award wins.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.
  • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page

Preferred Location:

Pittsburgh, PA

Experience Level:

15+ Years of Experience

Job Description

Role Summary

Seeking a Principal Enterprise Architect (15+ yrs exp) to own executive-level technical strategy across tier-1 healthcare accounts. You will lead multi-cloud data lakehouse migrations (GCP/Azure), data virtualization (Starburst), Facets/HDS schema modernization, and GenAI-driven data integration.

Core Responsibilities:

  • Serve as Principal Architect for Healthcare clients, establishing cloud architecture roadmaps, compliance governance (HIPAA/HITRUST/CMS), and cross-team delivery frameworks.
  • Deploy Starburst/Trino semantic layers to decouple business reporting from backend data migrations, enabling zero-downtime transition.
  • Architect enterprise GCP/Azure data environments (BigQuery, Dataplex, Synapse, Databricks) and direct progressive migration into target cloud landing zones.
  • Lead non-Facets to Facets/HDS data model conversions utilizing GenAI/accelerators (Codeaira) to automate schema mapping, data lineage, and validation rule generation.
  • Partner directly with client CDOs, CTOs, and VP-level leaders to align enterprise technology strategies with business deliverables.

Required Experience & Qualifications:

  • 15+ years in IT/Software Engineering, with 8+ years in Principal/Enterprise Architect roles in healthcare.
  • Healthcare Mastery: Payer/Provider systems (Claims, Enrollment, Clinical), Facets/HDS conversion patterns, and standards (FHIR, HL7, EDI 837/835/834, ICD-10).

Tech Stack:

  • Cloud: GCP (BigQuery, Dataplex, Vertex AI) and/or Azure (Synapse, Databricks).
  • Virtualization: Starburst Enterprise / Trino / Presto.
  • Data & AI: GenAI code/mapping accelerators, dimensional modeling, metadata-driven pipelines.

What is in it for you:

  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a leader of an energetic team of highly dynamic and talented individuals
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Vacancy posted 24 days ago
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