Architect, Data Engineer
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Job Description
Lead Architect Data Engineer at Quantiphi, overseeing next-gen data layer for Agentic AI. Collaborating with clients and engineering teams to optimize data architecture.
Responsibilities:
- 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.
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