Architect, Data Engineer

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🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

Artificial Intelligence • Enterprise • Education

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 (Graph) data for AI agents. • Oversee the health, security, and performance optimization of our data clusters (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.

🎯 Requirements

• 10+ years of experience in system architecture and data engineering • Proven expertise in architecting for Snowflake (Data Cloud) and Kinetica (Real-time/Vector/OLAP) • Ability to design Property Graphs or RDF schemas that map enterprise entities into a machine-readable 'World Model' • Deep knowledge of data orchestration patterns (Change Data Capture, Streaming, and Batch) • Strong DBA skills—partitioning strategies, indexing, vacuuming, and resource scaling in cloud-native environments.

🏖️ 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.