Remote AI Data Architect & Platform Engineer

Quantiphi; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Quantiphi seeks an Architect Data Engineer to lead the design of a next-generation data layer for Agentic AI. You will define high-performance schemas, multi-tenant ontologies, and oversee data governance across Snowflake and Kinetica.

You will partner with customers as the face of engineering, drive discovery workshops, and ensure low-latency, reliable data for real-time AI workloads in a remote US East/Canada setting.

Qualifications

• End-to-end data layer architecture for AI agents.
• Experience with multi-tenant schemas and knowledge graphs.
• Administration & governance of data clusters, ensuring high availability.

Responsibilities

• Design the data layer blueprint integrating structured and unstructured data.
• Define ontology for multi-tenant environments and LLM reasoning.
• Oversee health, security, and performance of Snowflake/Kinetica clusters.
• Lead client workshops and align architectural roadmap with business goals.
• Set performance benchmarks for real-time data retrieval.

Skills

System Architecture

Schema Design

Knowledge Graph

ETL/ELT

Snowflake

Kinetica

DBA / Governance

Security RBAC

Distributed Systems

API/Tools for Agents

Tools

Snowflake

Kinetica

dbt

Cube

Graph DBs

Job description

Quantiphi seeks an Architect Data Engineer to lead the design of a next-generation data layer for Agentic AI. You will define high-performance schemas, multi-tenant ontologies, and oversee data governance across Snowflake and Kinetica.

You will partner with customers as the face of engineering, drive discovery workshops, and ensure low-latency, reliable data for real-time AI workloads in a remote US East/Canada setting.