Architect - Data Engineer

## Architect
- Data Engineer Apply locations:
USA
- Remote time type:
Full time posted on:
Posted Todayjob requisition :
JR11504

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!
**** About Quantiphi:
**** Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.

Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We’ve been recognized with:
* 17x 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,  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 Linked In Page.
** Role:
** Architect Data Engineer - AI Platforms
** Experience Level:
** 10+ yrs
*
* Work Location:

** US East/Canada (Remote)
** Role Overview:
** Lead the architectural vision for a next-generation data layer designed specifically for Agentic AI. You will define high-performance schemas, orchestrate complex hybrid-database environments (Snowflake/Kinetica/No

SQL), and serve as the primary technical liaison for our customers. This is a high-visibility role blending deep technical governance with strategic relationship development.
*
* Key Responsibilities:

*** System Architecture:
Design the end-to-end blueprint for a modern data layer that seamlessly integrates structured, unstructured, and relational (Graph) data for AI agents.
* Schema & Ontology Design:
Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex reasoning and cross-domain data retrieval.
* Database Administration & Governance:
Oversee the health, security, and performance optimization of our data clusters (Snowflake/Kinetica), ensuring 99.9% availability for mission-critical AI workflows.
* Strategic Client Fronting:
Act as the "Face of Engineering" for the customer. Lead discovery workshops, manage technical expectations, and align the architectural roadmap with their business objectives.
* Performance Engineering:
Define performance and observability standards to ensure low-latency, accurate, reliable data retrieval for real-time agentic AI workloads.
*
* Basic Qualifications:

*** System Architecture:
Design the end-to-end blueprint for a modern data layer that seamlessly integrates structured, unstructured, and relational (Graph) data for AI agents.
* Schema & Ontology Design:
Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex reasoning and cross-domain data retrieval.
* Database Administration & Governance:
Oversee the health, security, and performance optimization of our data clusters (Snowflake/Kinetica), ensuring 99.9% availability for mission-critical AI workflows.
* Strategic Client Fronting:
Act as the "Face of Engineering" for the customer. Lead discovery workshops, manage technical expectations, and align the architectural roadmap with their business objectives.
* Performance Engineering:
Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can keep pace with the real-time demands of agentic execution.
* The Hybrid Stack:
Proven expertise in…