Quantiphi

Architect Data Engineer

Quantiphi$120K — $160K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in system architecture and data engineering.
  • Proven expertise in designing high-performance schemas for hybrid database environments (Snowflake/Kinetica/NoSQL).
  • Strong skills in database administration with a focus on security and performance optimization.
  • Excellent client-facing abilities with experience in managing technical workshops and aligning with business goals.
  • In-depth knowledge of advanced ETL/ELT strategies and data orchestration patterns.

Responsibilities

  • Design the architectural framework for a modern data layer integrating various data types for AI agents.
  • Define and implement multi-tenant schemas and Knowledge Graphs for enhanced AI reasoning.
  • Ensure the security, health, and performance of data clusters, maintaining high availability for critical AI workflows.
  • Serve as the primary technical liaison for customers, leading strategic discussions and managing expectations.
  • Establish performance benchmarks for data latency and retrieval to support real-time AI operations.

Benefits

  • Impactful role in a rapidly growing AI-first digital engineering firm.
  • Opportunities for professional growth and skills enhancement in advanced technologies.
  • Work with a research-focused organization that holds numerous patents across multiple disciplines.
  • Engage with cutting-edge AI, ML, and cloud technologies while collaborating with Fortune 500 clients.
Full Job Description
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/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.

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: 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.

Good to Have (The "Agentic" Edge):
  • 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's in it for YOU at Quantiphi:
  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
  • Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.


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

About Quantiphi

Quantiphi is an artificial intelligence and machine learning services company that helps businesses transform their operations through the use of AI. The company provides a range of services, including data engineering, machine learning, computer vision, natural language processing, and predictive analytics. Quantiphi was founded in 2013 and is headquartered in King of Prussia, Pennsylvania.
Learn more about Quantiphi
Size
500 employees
Industry
Founded
2013

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