The role involves designing and expanding enterprise-level data infrastructure to enable internal teams to interact with data through various platforms including ZI's internal chat agent
Job Summary
The role involves designing and expanding enterprise-level data infrastructure to enable internal teams to interact with data through various platforms including ZI's internal chat agent.
Candidates will lead the integration of diverse structured and unstructured data sources into the ecosystem while implementing Model Context Protocol for LLM-powered products.
The position requires mentoring junior engineers and defining data quality SLAs to ensure accuracy and lineage across all pipelines.
Matching Summary
The role involves designing and expanding enterprise-level data infrastructure to enable internal teams to interact with data through various platforms including ZI's internal chat agent.
Skills & Requirements
Must-have
Expert-level SQL skills
Strong Python programming
Production-level batch and streaming processing
Hands-on DBT experience
Snowflake data warehouse optimization
Model Context Protocol implementation
Nice-to-have
Familiarity with LLMOps and LangChain
Experience building embedding models
Knowledge of data cataloging tools
Familiarity with distributed systems like Flink
Experience with Named Entity Recognition pipelines
Key Requirements
8+ years of progressive data engineering experience
Bachelor's or Master's degree in Computer Science or Engineering
Demonstrated experience scaling data infrastructure for data-centric product companies