Data Architect (Knowledge Graphs)

Quantiphi; Boston (MA); Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Remote work Canada

Fortune 500 project exposure

Job summary

Quantiphi is seeking a seasoned Lead Architect to shape a next-generation data layer for Agentic AI. You will define high-performance schemas and oversee hybrid databases (Snowflake, Kinetica, NoSQL) while serving as the primary technical liaison for clients.

This high-visibility role blends governance with strategic relationship management. You will drive Schema & Ontology design, database governance, and performance engineering to ensure real-time AI workflows across large-scale deployments

Qualifications

• Design end-to-end data layer for AI agents.
• Define multi-tenant schemas and Knowledge Graph ontologies.
• Oversee health, security, and performance of data clusters.
• Lead discovery workshops and align roadmaps with business objectives.
• Establish data latency benchmarks for real-time AI workflows.

Responsibilities

• Design end-to-end data layer integrating structured, unstructured, and graph data.
• Define multi-tenant schemas and ontologies for AI agents.
• Oversee health, security, and performance of Snowflake/Kinetica clusters.
• Lead customer workshops and manage technical expectations.
• Set benchmarks for data latency and retrieval accuracy.

Skills

System Architecture

Schema & Ontology Design

DB Admin & Governance

Client Fronting

Performance Engineering

Hybrid Stack

Knowledge Graph

ETL/ELT

DB Internals

Tools

Snowflake

Kinetica

dbt Semantic Layer

Cube

RBAC/RLS

Job description

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

Experience Level: 8+ years

Employment type: Full Time/Contract

Location: Remote - Canada

Job Summary:

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/NoSQL), and serve as the primary technical liaison for our customers. This is a high-visibility role blending deep technical governance with strategic relationship development.

• 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 executionrability standards

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 architecting for Snowflake (Data Cloud) and Kinetica (Real-time/Vector/OLAP).
• Knowledge Graph Mastery: Ability to design Property Graphs or RDF schemas that map enterprise entities into a machine-readable "World Model."
• Advanced ETL/ELT Strategy: Deep knowledge of data orchestration patterns (Change Data Capture, Streaming, and Batch) to ensure data freshness.
• Database Internals: Strong DBA skills—partitioning strategies, indexing, vacuuming, and resource scaling in cloud-native environments.

Other Qualifications:

• Semantic Layer Design: Experience with tools like Cube or dbt Semantic Layer to provide a consistent "Language" for AI agents to query.
• Security & Privacy: Knowledge of RBAC and Row-Level Security (RLS) within an AI context—ensuring agents only "see" what they are authorized to access.
• Tooling for Agents: Experience designing API-first data layers that agents can use as "Tools" (e.g., function calling).

What is in it for you:

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.