Architect, Data Engineer

🕒 July 31

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Lead the architectural vision for a next-generation data layer designed specifically for Agentic AI. • Design the end-to-end blueprint for a modern data layer that seamlessly integrates structured, unstructured, and relational data. • Oversee the health, security, and performance optimization of data clusters, ensuring 99.9% availability. • Act as the 'Face of Engineering' for customers, managing technical expectations and aligning the architectural roadmap with business objectives. • Define performance and observability standards for real-time agentic AI workloads.

🎯 Requirements

• 10+ years of experience in system architecture for modern data layers. • Proven expertise in architecting for Snowflake and Kinetica. • Strong DBA skills—partitioning strategies, indexing, vacuuming, and resource scaling in cloud-native environments. • Ability to define multi-tenant schemas and Knowledge Graph ontologies. • Experience with semantic layer design and knowledge of security & privacy practices in AI context. • Strong knowledge of ETL/ELT strategy with data orchestration patterns.

🏖️ 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. • Great Place to Work certified for 2021, 2022, 2023.