
Senior Data Engineer – AI Platforms
Quantiphi
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Job Level
Tech Stack
About the role
- Lead vision for a next-generation data layer designed specifically for Agentic AI.
- Define high-performance schemas and orchestrate hybrid-database environments.
- Act as primary technical liaison for customers and lead discovery workshops.
- Establish benchmarks for data latency and retrieval accuracy for real-time demands.
Requirements
- 5+ years of experience in data engineering or related field
- Proven expertise in architecting for Snowflake and Kinetica
- Knowledge of designing Knowledge Graphs
- Deep knowledge of data orchestration patterns (Change Data Capture, Streaming, and Batch)
- Strong DBA skills in cloud-native environments
- Experience designing API-first data layers for AI agents
- Familiarity with RBAC and Row-Level Security within an AI context
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringSnowflakeKineticaKnowledge Graphsdata orchestration patternsChange Data CaptureStreamingBatchDBA skillsAPI-first data layers
Soft Skills
technical liaisonleadershipcommunication