Associate Architect - Data Engineer

Quantiphi

13d • Remote

About The Position

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: 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, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Requirements

• Proven expertise in architecting for cloud lakehouses (BigQuery / Cosmos / Snowflake / Kinetica)
• Expertise with building Vector DBs (Milvus / Qdrant / Cosmos / Azure AI Search).
• Ability to design Property Graphs or RDF schemas that map enterprise entities to serve complex clinical traversal queries
• Deep knowledge of data orchestration patterns (Change Data Capture, Streaming, and Batch) to ensure data freshness.
• Strong DBA skills—partitioning strategies, indexing, sharding, vacuuming, and resource scaling in cloud-native environments.
• Hands-on experience with vector stores, knowledge graphs, and semantic layer design to enable intelligent agent workflows.

Nice To Haves

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

Responsibilities

• Design the end-to-end blueprint for a modern enterprise data architecture encompassing all layers such as Ingestion Management, Lakehouse storage, Transformation & Orchestration, Semantic & Context, Serving & Consumption, Governance, and seamlessly integrating structured, unstructured, and graph data for consumption by AI agents.
• Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex reasoning and cross-domain data retrieval.
• Oversee the health, security, and performance optimization of our data clusters (BigQuery/Snowflake/Kinetica), ensuring 99.9% availability for mission-critical AI workflows.
• Act as the "Face of Engineering" for the customer. Lead discovery workshops, manage technical expectations, and align the architectural roadmap with their business objectives.
• Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can keep pace with the real-time demands of agentic execution.

Benefits

• 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!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed